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Extracting region of interest for palmprint by convolutional neural networks 基于卷积神经网络的掌纹感兴趣区域提取
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820994
Xianjie Bao, Zhenhua Guo
{"title":"Extracting region of interest for palmprint by convolutional neural networks","authors":"Xianjie Bao, Zhenhua Guo","doi":"10.1109/IPTA.2016.7820994","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820994","url":null,"abstract":"Palm ROI extraction is one of the most important processes in palmprint recognition. The core idea is to employ the valley points between the fingers to establish a coordinate system and then obtain the ROI of palmprints. However when extracting the keypoints, conventional methods have three problems: (i) they are so sensitive to parameters and background noise due to lack of joint optimization, (ii) accuracy of the location of keypoints is not good enough, (iii) extracting speed can be faster. To address the above problems, this paper presents a novel approach to extract palmprint ROI using convolutional neural net. First, we present a new CNN to identify the palmprint being a left or right hand. Then we propose a specific designed and optimized CNN to detect the keypoints. Finally we test our method using palmprint verification algorithm, competitive coding. Experimental results show that the proposed novel method is not only fast and efficient, but also robust for ROI extraction.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Median based pixel selection for partial image encryption 基于中值的部分图像加密像素选择
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820931
Anish Goel, Kaustubh Chaudhari
{"title":"Median based pixel selection for partial image encryption","authors":"Anish Goel, Kaustubh Chaudhari","doi":"10.1109/IPTA.2016.7820931","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820931","url":null,"abstract":"Communication between devices and data through networks have been increasing drastically in the past few decades. Encryption of data provides high level of security. This paper presents a median based technique for selective encryption where partial data of image is encrypted based on pixel values. An encrypted mask of the image is also appended with the image that specifies the pixels that are encrypted and the ones that are not. The technique results in saving the encryption data blocks to the Advanced Encryption Standard (AES) used for encrypting the data. The proposed technique shows significant reduction in the amount of data encrypted with a little overhead of the mask. Performance with different values of percentage deviation of median and block sizes are presented along with results for Entropy, Mean Square Error and Peak Signal to Noise Ratio that depict substantial level of security in partially encrypted image.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128230936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Graphical stochastic models for tracking applications with variational message passing inference 具有变分消息传递推理的跟踪应用的图形随机模型
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820985
Felix Trusheim, A. Condurache, A. Mertins
{"title":"Graphical stochastic models for tracking applications with variational message passing inference","authors":"Felix Trusheim, A. Condurache, A. Mertins","doi":"10.1109/IPTA.2016.7820985","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820985","url":null,"abstract":"In this paper we present a novel, highly-adoptable, state-estimation filter based on the framework of graphical stochastical models and variational message passing inference. We evaluate our method on both real and simulated data for tracking applications. Our experimental results show that the proposed approach offers qualitative and computational advantages over established filter methods in practical situations, where the noise within a process is not simply a Gaussian noise, but rather described by a more complex distribution.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128505872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Intensity normalization of sidescan sonar imagery 侧扫声纳图像的强度归一化
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820967
Mohammed Sadeq Al-Rawi, A. Galdran, Xin Yuan, Martina Eckert, José-Fernán Martínez, Fredrik Elmgren, Baran Çürüklü, Jonathan Rodriguez, J. Bastos, M. Pinto
{"title":"Intensity normalization of sidescan sonar imagery","authors":"Mohammed Sadeq Al-Rawi, A. Galdran, Xin Yuan, Martina Eckert, José-Fernán Martínez, Fredrik Elmgren, Baran Çürüklü, Jonathan Rodriguez, J. Bastos, M. Pinto","doi":"10.1109/IPTA.2016.7820967","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820967","url":null,"abstract":"Sonar imaging is currently the exemplary choice used in underwater imaging. However, since sound signals are absorbed by water, an image acquired by a sonar will have gradient illumination; thus, underwater maps will be difficult to process. In this work, we investigated this phenomenon with the objective to propose methods to normalize the images with regard to illumination. We propose to use MIxed exponential Regression Analysis (MIRA) estimated from each image that requires normalization. Two sidescan sonars have been used to capture the seabed in Lake Vattern in Sweden in two opposite directions west-east and east-west; hence, the task is extremely difficult due to differences in the acoustic shadows. Using the structural similarity index, we performed similarity analyses between corresponding regions extracted from the sonar images. Results showed that MIRA has superior normalization performance. This work has been carried out as part of the SWARMs project (http://www.swarms.eu/).","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions 前列腺癌的扩散加权成像:利用单指数和峰度函数参数图的纹理特征预测癌症
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820993
I. M. Perez, Jussi Toivonen, P. Movahedi, H. Merisaari, Marko Pesola, P. Taimen, P. Boström, Aida Kiviniemi, H. Aronen, T. Pahikkala, I. Jambor
{"title":"Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions","authors":"I. M. Perez, Jussi Toivonen, P. Movahedi, H. Merisaari, Marko Pesola, P. Taimen, P. Boström, Aida Kiviniemi, H. Aronen, T. Pahikkala, I. Jambor","doi":"10.1109/IPTA.2016.7820993","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820993","url":null,"abstract":"Computer aided diagnosis (CADx) systems for magnetic resonance imaging of prostate have shown potential to increase accuracy for detection of cancer. The purpose of this study is to introduce a method for CADx to detect prostate cancer based on texture features extracted from a grid placed on diffusion weighted imaging (DWI) parametric maps. Texture maps of DWI parametric maps (monoexponential: ADCm, kurtosis: ADCk and K) from 67 patients were obtained. Then the texture maps were divided in cubes, and median texture features were calculated for each cube. The features were used to train prediction models. Area under the curve (AUC) value was used to assess the prediction efficiency. In total, 875 texture features were extracted with Gabor filter, GLCM, LBP, Haar transform, and Hu moments. Statistical features were also calculated. The union of texture features from the ADCm ADCk and K parametric maps demonstrated high performance with AUC values of 0.81 to 0.85.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129917781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Incorporating human knowledge in automated celiac disease diagnosis 将人类知识纳入乳糜泻自动诊断
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821009
M. Gadermayr, H. Kogler, M. Karla, A. Vécsei, A. Uhl, D. Merhof
{"title":"Incorporating human knowledge in automated celiac disease diagnosis","authors":"M. Gadermayr, H. Kogler, M. Karla, A. Vécsei, A. Uhl, D. Merhof","doi":"10.1109/IPTA.2016.7821009","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821009","url":null,"abstract":"Recently, computer-aided celiac disease diagnosis has been promoted to provide an objective opinion besides histological examination of biopsies and visual assessment of macroscopic mucosal tissue. State-of-the-art techniques, however, are not accurate enough to provide incentive for clinical deployment. In this work, we answer two questions: Do computers and human experts make similar classification errors and can expert knowledge be utilized to increase the accuracy of computer-aided methods. Three experts were asked to perform visual classification of a large number of images. The experts decisions were combined with nine different state-of-the-art image representations. Experimentation showed that the correlations between two computer-based methods were higher than the correlations between an expert and a computer-based method. Furthermore, the inclusion of expert knowledge led to statistically significant (p < 0.05) improvements in 69 out of 108 investigated settings.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"38 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114024318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Fast Chinese character detection from complex scenes 复杂场景的快速汉字检测
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821001
Xiaoyue Jiang, J. Lian, Zhaoqiang Xia, Xiaoyi Feng, A. Hadid
{"title":"Fast Chinese character detection from complex scenes","authors":"Xiaoyue Jiang, J. Lian, Zhaoqiang Xia, Xiaoyi Feng, A. Hadid","doi":"10.1109/IPTA.2016.7821001","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821001","url":null,"abstract":"Text in images and videos is vital for understanding the visual content. In this paper, we propose to combine different features (namely corner, stroke width similarity and color similarity) to detect Chinese text in complex images and videos. The corners are used to determine the potential text candidates which are then refined using stroke width and color features. To further enhance the efficiency of the detection algorithm, a line scanning strategy is adopted to select the correct text regions. A new challenging data set with ground truth and evaluation protocol is built and will be made publicly available for research purposes. It is collected from different TV programs. Extensive experimental analysis shows that our proposed algorithm yields in very promising results which compare favorably against traditional approaches in the research literature.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Two dimensional translation detection by comprehensively calculating three cross-correlations 综合计算三种相互关系的二维翻译检测
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820989
Wei‐Jun Chen
{"title":"Two dimensional translation detection by comprehensively calculating three cross-correlations","authors":"Wei‐Jun Chen","doi":"10.1109/IPTA.2016.7820989","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820989","url":null,"abstract":"This paper suggests a new method for detecting 2D translation between two images based on calculating three independent cross-correlations (CCs) on them. Such a method is conceptually different from other area based methods which generally perform only one CC or its variants for phase shift detection. The principle of traditional area based methods could be interpreted as a fast but simplified implementation of least squares (LS), by ignoring two summed squares of given images while keeping one CC component between them. It is argued by us that such an ignorance often inevitably results in the requirement of data pre-processing for robustness and accuracy. Keeping all the source information but calculating the whole LS by three CCs, the computation performance is kept as O(N log N). Without any data pre-processing, experiments on a dataset with rich application backgrounds and comparisons with widely recommended methods including both the area based and the feature based methods, show that our suggestion is very promising for general-purpose 2D translation detection.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"65 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images 基于OCT图像的RPE层自动分割检测年龄黄斑变性
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821033
Samra Naz, Aneeqa Ahmed, M. Usman Akram, S. Khan
{"title":"Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images","authors":"Samra Naz, Aneeqa Ahmed, M. Usman Akram, S. Khan","doi":"10.1109/IPTA.2016.7821033","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821033","url":null,"abstract":"Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on intensity level thresholding of high reflective pixels around retinal nerve fiber layer (RNFL). A dataset of 50 different B-scan is taken with having 25 AMD and 25 heathy images. Bottom layer of the retina known as RPE layer is extracted and analyzed by fitting a second order polynomial curve. The difference between both the curvess decide the class of the image. Results show an accurate detection of drusen with 96 % accuracy.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127915988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Camera communication deblurring: A semiblind spatial fractionally-spaced adaptive equalizer with flexible filter support design 相机通信去模糊:一种半盲空间分数间隔自适应均衡器，具有灵活的滤波器支持设计
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820977
Stefano Pergoloni, M. Biagi, S. Colonnese, R. Cusani, G. Scarano
{"title":"Camera communication deblurring: A semiblind spatial fractionally-spaced adaptive equalizer with flexible filter support design","authors":"Stefano Pergoloni, M. Biagi, S. Colonnese, R. Cusani, G. Scarano","doi":"10.1109/IPTA.2016.7820977","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820977","url":null,"abstract":"In Optical Camera Communication systems an important issue is the spatial intersymbol interference (blurred images) that can arise when Multi-Input Multi-Output techniques are applied. However, the transmitted symbols are described with very high resolution, due to the high number of pixels composing the camera. To take advantage of this characteristic, in this paper we use a semiblind spatial fractionally-spaced adaptive equalizer to counteract the blur introduced by the optical channel. We formulate the adaptive algorithm in a way that permits to design the support of the Finite Impulse Response filter with flexibility. The choice of the support is related to the spatial shape of the blur encountered, by following an heuristic approach. The equalizer performances in terms of Bit Error Rate are presented in the numerical results showing performance improvement. We also show the behaviour of the equalizer when different filter supports are used.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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