2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)最新文献_第6页

A combined fuzzy and level sets' based approach for brain MRI image segmentation 基于模糊和水平集的脑MRI图像分割方法

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776216

B. Anami, Prakash H. Unki

{"title":"A combined fuzzy and level sets' based approach for brain MRI image segmentation","authors":"B. Anami, Prakash H. Unki","doi":"10.1109/NCVPRIPG.2013.6776216","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776216","url":null,"abstract":"The different tissues namely gray matter (GM) white matter (WM), and cerebrospinal fluid (CSF) are spread over the entire brain. It is difficult to demarcate them individually when a brain image is considered. The boundaries are not well defined. Modified fuzzy C means (MFCM) and level sets segmentation based methodology is proposed in this paper for automated brain MRI image segmentation into WM, GM and CSF. The initial segmentation is done by MFCM approach and the results thus obtained are input to the level set methodology. We have tested the methodology on 100 different brain MRI images. The results are compared by using individual MFCM and level set segmentation methods. We took the opinion of 10 expert radiologists to corroborate our results. The results are validated by radiologists as `Accurate', `Satisfactory', `Adequate' and `Not acceptable'. The results obtained using only level set are `not acceptable'. Most of the results obtained using MFCM are `Adequate'. The results obtained using combined method are `Satisfactory'. Hence, the results obtained using combined MFCM and level sets based segmentation are considered better than using individual MFCM and level set segmentation methods. The manual intervention is avoided in the combined approach. The time required to segment using combined approach is also less compared to level set method. The segmentation using proposed methodology is helpful for radiologists in hospitals for brain MRI image analysis.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116158753","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

Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule 基于Dempster Shafer组合规则的鲁棒地平估计决策融合

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776247

R. Tabib, Ujwala Patil, Syed Altaf Ganihar, N. Trivedi, U. Mudenagudi

引用次数: 8

High performance VLSI implementation of Context-based Adaptive Variable Length Coding (CAVLC) for H.264 encoder H.264编码器基于上下文的自适应变长编码(CAVLC)的高性能VLSI实现

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776186

R. Mukherjee, V. Mahajan, I. Chakrabarti, S. Sengupta

引用次数: 0

Multispectral palmprint matching based on joint sparse representation 基于联合稀疏表示的多光谱掌纹匹配

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776243

B. H. Shekar, N. Harivinod

引用次数: 2

Tsallis and Renyi's embedded entropy based mutual information for multimodal image registration tallis和Renyi基于互信息的嵌入熵多模态图像配准

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776207

Subhaluxmi Sahoo, P. Nanda, Sunita Samant

引用次数: 4

Predicting the imagined contents using brain activation 通过大脑激活来预测想象的内容

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776230

Krishna P. Miyapuram, W. Schultz, P. Tobler

引用次数: 2

Multi-spectral demosaicing technique for single-sensor imaging 单传感器成像的多光谱去马赛克技术

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776236

H. Aggarwal, A. Majumdar

引用次数: 12

Dynamic signature verification for secure retrieval of classified information 动态签名验证，用于安全检索机密信息

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776170

Jayashri Vajpai, J. B. Arun, Ishani Vajpai

{"title":"Dynamic signature verification for secure retrieval of classified information","authors":"Jayashri Vajpai, J. B. Arun, Ishani Vajpai","doi":"10.1109/NCVPRIPG.2013.6776170","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776170","url":null,"abstract":"With the growth of web enabled services and e-commerce, tremendous amount of information is now readily available on the Internet. A large proportion of this is classified information, which has to be protected against unauthorized access. Password or PIN can be used in conjunction with digital signature, for verification of the identity of users. This paper proposes a dynamic handwritten signature verification based access control system that can be employed in the legal, banking and commercial domains for designing secure information retrieval systems. The dynamic handwritten signature in this system is captured by using a digital tablet or PDA (Personal Digital Assistant) with contact sensitive acquisition system. After preprocessing, the signature data is compared with the templates of authorized signatures by employing an innovative neuro-fuzzy pattern recognition system based on sensing the pressure variable and total time required for executing the signature for uniquely identifying the potential user. The error in matching is used to arrive at the decision regarding permission or denial of access to the classified document. The neuro-fuzzy technique applied in the dynamic signature system is based on evolving fuzzy neural network. This technique has been tested on signatures drawn from signature verification competition database obtained from the internet. Encouraging results show that this technique is a good candidate for the development of practical applications.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"537 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127981573","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: 3

Removal of hand-drawn annotation lines from document images by digital-geometric analysis and inpainting 通过数字几何分析和绘图从文档图像中去除手绘注释线

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776179

Sanjoy Pratihar, Partha Bhowmick, S. Sural, J. Mukhopadhyay

{"title":"Removal of hand-drawn annotation lines from document images by digital-geometric analysis and inpainting","authors":"Sanjoy Pratihar, Partha Bhowmick, S. Sural, J. Mukhopadhyay","doi":"10.1109/NCVPRIPG.2013.6776179","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776179","url":null,"abstract":"Performance of an OCR system is badly affected due to presence of hand-drawn annotation lines in various forms, such as underlines, circular lines, and other text-surrounding curves. Such annotation lines are drawn by a reader usually in free hand in order to summarize some text or to mark the keywords within a document page. In this paper, we propose a generalized scheme for detection and removal of these hand-drawn annotations from a scanned document page. An underline drawn by hand is roughly horizontal or has a tolerable undulation, whereas for a hand-drawn curved line, the slope usually changes at a gradual pace. Based on this observation, we detect the cover of an annotation object-be it straight or curved-as a sequence of straight edge segments. The novelty of the proposed method lies in its ability to compute the exact cover of the annotation object, even when it touches or passes through any text character. After getting the annotation cover, an effective method of inpainting is used to quantify the regions where text reconstruction is needed. We have done our experimentation with various documents written in English, and some results are presented here to show the efficiency and robustness of the proposed method.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117171379","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: 3

Time driven video summarization using GMM 使用GMM的时间驱动视频摘要

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI: 10.1109/NCVPRIPG.2013.6776205

Sujatha C, Ravindra Akshay, Chivate, Sayed Altaf Ganihar, U. Mudenagudi

{"title":"Time driven video summarization using GMM","authors":"Sujatha C, Ravindra Akshay, Chivate, Sayed Altaf Ganihar, U. Mudenagudi","doi":"10.1109/NCVPRIPG.2013.6776205","DOIUrl":"https://doi.org/10.1109/NCVPRIPG.2013.6776205","url":null,"abstract":"In this paper, we propose a method to browse the activities present in the longer videos for the user defined time. Browsing of activities is important for variety of applications and consumes large amount of viewing time for longer videos. The aim is to generate a summary of the video by retaining salient activities in a given time. We propose a method for selection of salient activities using motion of feature points as a key parameter, where the saliency of a frame depends on total motion and specified time for summarization. The motion information in a video is modeled as a Gaussian mixture model (GMM), to estimate the key motion frames in the video. The salient frames are detected depending upon the motion strength of the keyframe and user specified time, which contributes for the summarization keeping the chronology of activities. The proposed method finds applications in summarization of surveillance videos, movies, TV serials etc. We demonstrate the proposed method on different types of videos and achieve comparable results with stroboscopic approach and also maintain the chronology with an average retention ratio of 95%.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124036677","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: 9