发布求助
文献互助 智能选刊 最新文献

International Journal of Signal and Imaging Systems Engineering最新文献

筛选
英文 中文
Image colour edge detection using hypercomplex convolution 基于超复卷积的图像颜色边缘检测
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2020-01-01 DOI: 10.1504/IJSISE.2020.10036147
Rawan I. Zaghloul, H. Hiary
{"title":"Image colour edge detection using hypercomplex convolution","authors":"Rawan I. Zaghloul, H. Hiary","doi":"10.1504/IJSISE.2020.10036147","DOIUrl":"https://doi.org/10.1504/IJSISE.2020.10036147","url":null,"abstract":"","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"17 5 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731703","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: 1
Improvement of image compression approach using dynamic quantisation based on HVS 基于HVS的动态量化图像压缩方法的改进
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2019-07-04 DOI: 10.1504/IJSISE.2019.10022414
M. Rahali, H. Loukil, M. Bouhlel
{"title":"Improvement of image compression approach using dynamic quantisation based on HVS","authors":"M. Rahali, H. Loukil, M. Bouhlel","doi":"10.1504/IJSISE.2019.10022414","DOIUrl":"https://doi.org/10.1504/IJSISE.2019.10022414","url":null,"abstract":"Digital-image compression can reduce the overall volume of the image by keeping the original image with the minimum degradation in the level of the reconstructed image quality; in other words, here, we speak about compression with loss. This work comes up with an improvement in an image compression method using the discrete wavelet transform (DWT) and neural networks. To improve this technique, we have added a new phase based on the Human Visual System (HVS) and the Weber-Fechner law to dynamically quantify the image signal. Such a new phase can improve the quality of compression by dynamically quantifying each pixel value of the original image compared to the values of the neighbour pixels according to a luminance detection threshold. This threshold is known as Weber constant.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44168852","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
A high-throughput system for automated bottle mouth defects inspection 一种用于瓶口缺陷自动检测的高通量系统
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2019-07-04 DOI: 10.1504/IJSISE.2019.10022413
Bowen Zhou, Yanbin Li, Ming-Sing Lu, Lianghong Wu
{"title":"A high-throughput system for automated bottle mouth defects inspection","authors":"Bowen Zhou, Yanbin Li, Ming-Sing Lu, Lianghong Wu","doi":"10.1504/IJSISE.2019.10022413","DOIUrl":"https://doi.org/10.1504/IJSISE.2019.10022413","url":null,"abstract":"Bottle mouth defects inspection is very important for the production line of beverage and medicine. In this paper, an intelligent inspection system for bottle mouth defects is presented. The linear convection mechanical structure and electrical control system based on industrial personal computer (IPC), motion card and data I/O card are firstly illustrated in detail. Thereafter, a method using the high-speed camera is applied to obtain the bottle mouth image. To find the centre of bottle mouth, a novel multi-search-orientation algorithm is proposed, and then the differential detection method based on ring scanning tangent is used to identify the cracks of the bottle mouth. The experimental results show that the detection algorithm is effective and the system is reliable.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46588176","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
Echocardiography image segmentation using feed forward artificial neural network (FFANN) with fuzzy multi-scale edge detection (FMED) 基于模糊多尺度边缘检测的前馈人工神经网络(FFANN)超声心动图图像分割
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2019-07-04 DOI: 10.1504/IJSISE.2019.10022417
P. Shakeel, S. Baskar, R. Sampath, Mustafa Musa Jaber
{"title":"Echocardiography image segmentation using feed forward artificial neural network (FFANN) with fuzzy multi-scale edge detection (FMED)","authors":"P. Shakeel, S. Baskar, R. Sampath, Mustafa Musa Jaber","doi":"10.1504/IJSISE.2019.10022417","DOIUrl":"https://doi.org/10.1504/IJSISE.2019.10022417","url":null,"abstract":"In the recent past Echocardiography image segmentation is one of the significant process describes about the segment out inner and outer walls or other parts of the organ boundaries. However, this kind of segmentation process is one of the difficult for physicians because of inexperience or subject specialists with the previous cases. To enhance the cardiac image segmentation accuracy and to minimise the segmentation time a machine learning method such as neural networks has been proposed in the segmentation process. In this research, feed forward artificial neural network (FFANN) has been utilised and fuzzy multi-scale edge detection (FMED) process has been applied to detect the segmented edges to define the detected texture boundary with the help of FFANN weights. An experimental result shows an efficient learning capacity of FFANN and this work deals with the segmentation of ultrasound images using MATLAB implementation.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42868436","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: 38
A morphologically driven gradient and marker controlled distance regularised level sets for nuclear segmentation in histopathological images 用于组织病理学图像核分割的形态学驱动的梯度和标记控制的距离正则化水平集
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2019-07-04 DOI: 10.1504/IJSISE.2019.10022426
P. Shivamurthy, T. N. Nagabhushan, B. Prasad, V. Basavaraj
{"title":"A morphologically driven gradient and marker controlled distance regularised level sets for nuclear segmentation in histopathological images","authors":"P. Shivamurthy, T. N. Nagabhushan, B. Prasad, V. Basavaraj","doi":"10.1504/IJSISE.2019.10022426","DOIUrl":"https://doi.org/10.1504/IJSISE.2019.10022426","url":null,"abstract":"The extraction of suitable biomarkers over a tissue image plays a vital role in the diagnosis and prognosis of cancer disease. Nuclear pleomorphism is one such trait, which serves as an important shape-based biomarker. An effective segmentation of the nuclei objects leads to an accurate diagnosis by an expert pathologist, which otherwise would be erroneous due to inter and intra-observer variability. In this research, a novel approach for segmenting the nuclei objects, using distance regularised level sets (DRLS), has been presented. It is shown that the shape prior based morphological transformation of the image achieves: a) centroid detection for accurate contour initialisation; b) gradient computation for an effective contour evolution. Experiments have been conducted on benign and malignant tissue images followed by a performance study using the object detection and the overlap resolution accuracy. Segmentation accuracy is assessed in comparison with the geodesic active contours, based on the ground truth.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45946885","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
Robust and effective clothes recognition system based on fusion of Haralick and HOG features 基于Haralick和HOG特征融合的鲁棒有效服装识别系统
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2019-07-04 DOI: 10.1504/IJSISE.2019.10022415
Kriti Bansal, A. S. Jalal
{"title":"Robust and effective clothes recognition system based on fusion of Haralick and HOG features","authors":"Kriti Bansal, A. S. Jalal","doi":"10.1504/IJSISE.2019.10022415","DOIUrl":"https://doi.org/10.1504/IJSISE.2019.10022415","url":null,"abstract":"In today's modern era, when the computer has become a necessity of an individual, shopping has shifted from shop to online shopping. This kind of clothes classification is used for knowing the name of the cloth that we have seen any movie, serial or anywhere else. In this paper, we present an efficient method to recognise the clothes in natural scenes as well as in the cluttered background. The proposed approach includes three phases: extraction of region of interest (ROI); construction of feature vector; classification. We have validated the proposed approach using our dataset which contains cluttered background images as well as on deep fashion standard dataset. The proposed method successfully resolved the issues of misclassification of clothes in the cluttered background with different illumination conditions. Experimental results show that the proposed technique successfully achieved 88.36% clothes recognition rate.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731642","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: 1
Robust breast cancer detection by utilising the multi-resolution features 利用多分辨率特征实现癌症的稳健检测
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-08-09 DOI: 10.1504/IJSISE.2018.093828
T. Gopalakrishnan, J. Rajeesh, S. Palanikumar
{"title":"Robust breast cancer detection by utilising the multi-resolution features","authors":"T. Gopalakrishnan, J. Rajeesh, S. Palanikumar","doi":"10.1504/IJSISE.2018.093828","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.093828","url":null,"abstract":"Breast Cancer can be said as a malignant growth of cells in the breast which can affect other parts of the body if left untreated. The use of Computer Assisted Diagnosis is that it provides the pathologist more accurate diagnosis information and helps to reduce the limitations of human observations. Our method proposed to create an accurate technique for automated diagnosis of breast cancerous cells on histopathology images. The dataset used for our purpose is BreaKHis_v1. The method consists of pre-processing, K-means segmentation, post-processing, feature vector extraction and classification. The texture and intensity feature vectors of the histopathology image is extracted and is combined and tested with multi resolution features such as wavelet, contourlet transform and wave atom features. Further for classification, several classifiers are tested .The result showed that wave atom feature produced superior result and the best classifier is ensemble classifier providing an overall accuracy of 94.5%.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"225"},"PeriodicalIF":0.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2018.093828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44910881","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: 1
An effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images 一种从视网膜眼底图像中检测糖尿病视网膜病变疾病的有效图像处理方法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-08-09 DOI: 10.1504/IJSISE.2018.10015063
Nasr Y. Gharaibeh, Obaida M. Al-hazaimeh, B. Al-Naami, K. Nahar
{"title":"An effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images","authors":"Nasr Y. Gharaibeh, Obaida M. Al-hazaimeh, B. Al-Naami, K. Nahar","doi":"10.1504/IJSISE.2018.10015063","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10015063","url":null,"abstract":"Diabetic retinopathy (i.e., DR), is an eye disorder caused by diabetes, diabetic retinopathy detection is an important task in retinal fundus images due the early detection and treatment can potentially reduce the risk of blindness. Retinal fundus images play an important role in diabetic retinopathy through disease diagnosis, disease recognition (i.e., by ophthalmologists), and treatment. The current state-of-the-art techniques are not satisfied with sensitivity and specificity. In fact, there are still other issues to be resolved in state-of-the-art techniques such as performances, accuracy, and easily identify the DR disease effectively. Therefore, this paper proposes an effective image processing method for detection of diabetic retinopathy diseases from retinal fundus images that will satisfy the performance metrics (i.e., sensitivity, specificity, accuracy). The proposed automatic screening system for diabetic retinopathy was conducted in several steps: Pre-processing, optic disc detection and removal, blood vessel segmentation and removal, elimination of fovea, feature extraction (i.e., Micro-aneurysm, retinal hemorrhage, and exudates), feature selection and classification. Finally, a software-based simulation using MATLAB was performed using DIARETDB1 dataset and the obtained results are validated by comparing with expert ophthalmologists. The results of the conducted experiments showed an efficient and effective in sensitivity, specificity and accuracy.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"206"},"PeriodicalIF":0.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43183322","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: 47
Deterministic initialisation principle for normalised subband adaptive filtering 归一化子带自适应滤波的确定性初始化原理
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-08-09 DOI: 10.1504/IJSISE.2018.093831
B. Samuyelu, P. R. Kumar
{"title":"Deterministic initialisation principle for normalised subband adaptive filtering","authors":"B. Samuyelu, P. R. Kumar","doi":"10.1504/IJSISE.2018.093831","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.093831","url":null,"abstract":"The conventional paradigm of system identification utilises prior information on system structures and environments and input/output observation data to explain the designs of systems. Large improvement and research on its methods, algorithms, theoretical foundation, applications and verifications over the past half century have introduced a mature field with a rich literature and substantial benchmark significances. However, rapid improvements in technology, engineering, science and social media has ushered in a new period of systems science and control in which limitations and opportunities are abundant for system identification. In this sense, system identification remains an exciting, young, viable, and critical field that mandates new paradigms to meet such challenges. In this paper, the proposed D-MVS-SNSAF offers improvement in the system identification by initialising the weight factor, which is obtained by taking the number of transitions in the input/output characteristics of the system, through the polynomial model.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"246"},"PeriodicalIF":0.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2018.093831","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42175517","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
Multi resolution feature combined with ODBTC technique for robust CBIR system 多分辨率特征与ODBTC技术相结合的鲁棒CBIR系统
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-08-09 DOI: 10.1504/IJSISE.2018.093829
V. G. Ranjith, M. Jeyakumar, S. Palanikumar
{"title":"Multi resolution feature combined with ODBTC technique for robust CBIR system","authors":"V. G. Ranjith, M. Jeyakumar, S. Palanikumar","doi":"10.1504/IJSISE.2018.093829","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.093829","url":null,"abstract":"Content based image retrieval (CBIR) is a system that retrieves a set of images that most resembles the query image. The technology is used in many applications. Currently used image content retrieval method is ordered-dither block truncation coding (ODBTC). This method is used to produce image content descriptors. In this system, it gives only an average accuracy of 70.5%. Our aim is to create a more robust and accurate system for CBIR. For this purpose in addition to colour cooccurrence feature (CCF) and bit pattern features (BPF), contourlet and wavelet features from the query image is extracted for image retrieval process. In our experiment the system is first tested with ODBTC and wavelet and then ODBTC and contourlet. The results obtained with ODBTC and contourlet is more accurate and produced accuracy 91.5%. The dataset used for our experiment is CorelDB.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"237"},"PeriodicalIF":0.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2018.093829","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48752110","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信