Eurasip Journal on Image and Video Processing最新文献

{"title":"Segmentation of epithelial human type 2 cell images for the indirect immune fluorescence based on modified quantum entropy","authors":"Abu-Zinadah Hanaa, Abdel Azim Gamil","doi":"10.1186/s13640-021-00554-6","DOIUrl":"https://doi.org/10.1186/s13640-021-00554-6","url":null,"abstract":"<p>The autoimmune disorders such as rheumatoid, arthritis, and scleroderma are connective tissue diseases (CTD). Autoimmune diseases are generally diagnosed using the antinuclear antibody (ANA) blood test. This test uses indirect immune fluorescence (IIf) image analysis to detect the presence of liquid substance antibodies at intervals the blood, which is responsible for CTDs. Typically human alveolar epithelial cells type 2 (HEp2) are utilized as the substrate for the microscope slides. The various fluorescence antibody patterns on HEp-2 cells permits the differential designation-diagnosis. The segmentation of HEp-2 cells of IIf images is therefore a crucial step in the ANA test. However, not only this task is extremely challenging, but physicians also often have a considerable number of IIf images to examine.In this study, we propose a new methodology for HEp2 segmentation from IIf images by maximum modified quantum entropy. Besides, we have used a new criterion with a flexible representation of the quantum image(FRQI). The proposed methodology determines the optimum threshold based on the quantum entropy measure, by maximizing the measure of class separability for the obtained classes over all the gray levels. We tested the suggested algorithm over all images of the MIVIA HEp 2 image data set.To objectively assess the proposed methodology, segmentation accuracy (SA), Jaccard similarity (JS), the F1-measure,the Matthews correlation coefficient(MCC), and the peak signal-to-noise ratio (PSNR) were used to evaluate performance. We have compared the proposed methodology with quantum entropy, Kapur and Otsu algorithms, respectively.The results show that the proposed algorithm is better than quantum entropy and Kapur methods. In addition, it overcomes the limitations of the Otsu method concerning the images which has positive skew histogram.This study can contribute to create a computer-aided decision (CAD) framework for the diagnosis of immune system diseases</p>","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"71 ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refinement of matching costs for stereo disparities using recurrent neural networks","authors":"Alper Emlek, Murat Peker","doi":"10.1186/s13640-021-00551-9","DOIUrl":"https://doi.org/10.1186/s13640-021-00551-9","url":null,"abstract":"<p>Depth is essential information for autonomous robotics applications that need environmental depth values. The depth could be acquired by finding the matching pixels between stereo image pairs. Depth information is an inference from a matching cost volume that is composed of the distances between the possible pixel points on the pre-aligned horizontal axis of stereo images. Most approaches use matching costs to identify matches between stereo images and obtain depth information. Recently, researchers have been using convolutional neural network-based solutions to handle this matching problem. In this paper, a novel method has been proposed for the refinement of matching costs by using recurrent neural networks. Our motivation is to enhance the depth values obtained from matching costs. For this purpose, to attain an enhanced disparity map by utilizing the sequential information of matching costs in the horizontal space, recurrent neural networks are used. Exploiting this sequential information, we aimed to determine the position of the correct matching point by using recurrent neural networks, as in the case of speech processing problems. We used existing stereo algorithms to obtain the initial matching costs and then improved the results by utilizing recurrent neural networks. The results are evaluated on the KITTI 2012 and KITTI 2015 datasets. The results show that the matching cost three-pixel error is decreased by an average of 14.5% in both datasets.</p>","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"88 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138518808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stacked generative adversarial networks for image compositing","authors":"Bing Yu, Youdong Ding, Zhifeng Xie, Dongjin Huang","doi":"10.1186/s13640-021-00550-w","DOIUrl":"https://doi.org/10.1186/s13640-021-00550-w","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-021-00550-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46424887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating effects of focal length and viewing angle in a comparison of recent face landmark and alignment methods","authors":"Xiang Li, Jianzheng Liu, Jessica R. Baron, Khoa Luu, Eric Patterson","doi":"10.1186/s13640-021-00549-3","DOIUrl":"https://doi.org/10.1186/s13640-021-00549-3","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":" ","pages":"1-18"},"PeriodicalIF":2.4,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-021-00549-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45706600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Random CNN structure: tool to increase generalization ability in deep learning","authors":"B. Świderski, S. Osowski, Grzegorz Gwardys, J. Kurek, M. Słowińska, I. Lugowska","doi":"10.21203/RS.3.RS-277475/V1","DOIUrl":"https://doi.org/10.21203/RS.3.RS-277475/V1","url":null,"abstract":"The paper presents a novel approach for designing the CNN structure of improved generalization capability in the presence of a small population of learning data. Unlike the classical methods for building CNN, we propose to introduce some randomness in the choice of layers with a different type of nonlinear activation function. The image processing in these layers is performed using either the ReLU or the softplus function. This choice is random. The randomness introduced in the network structure can be interpreted as a special form of regularization. Experiments performed on the detection of images belonging to either melanoma or non-melanoma cases have shown a significant improvement in average quality measures such as accuracy, sensitivity, precision, and area under the ROC curve.","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"2022 1","pages":"1-12"},"PeriodicalIF":2.4,"publicationDate":"2021-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49436404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An overview of touchless 2D fingerprint recognition","authors":"Jannis Priesnitz, C. Rathgeb, Nicolas Buchmann, C. Busch, Marian Margraf","doi":"10.1186/s13640-021-00548-4","DOIUrl":"https://doi.org/10.1186/s13640-021-00548-4","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"2021 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-021-00548-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65718604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Steganography algorithm based on modified EMD-coded PU partition modes for HEVC videos","authors":"Zhenzhen Zhang, Zhaohong Li, Jindou Liu, Huanma Yan, Lifang Yu","doi":"10.1186/s13640-021-00547-5","DOIUrl":"https://doi.org/10.1186/s13640-021-00547-5","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-021-00547-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48053052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trademark infringement recognition assistance system based on human visual Gestalt psychology and trademark design","authors":"Kuo-Ming Hung, Li-Ming Chen, Ting-Wen Chen","doi":"10.21203/RS.3.RS-174352/V1","DOIUrl":"https://doi.org/10.21203/RS.3.RS-174352/V1","url":null,"abstract":"Trademarks are common graphic signs in human society. People used this kind of graphic sign to distinguish the signs of representative significance such as individuals, organizations, countries, and groups. Under effective use, these graphic signs can bring maintenance and development resources and profits to the owner. In addition to maintenance and development, organizations that have obtained resources can further promote national and social progress. However, the benefits of these resources have also attracted the attention of unfair competitors. By imitating counterfeit trademarks that appear, unfair competitors can steal the resources of the original trademark. In order to prevent such acts of unfair competitors, the state has formulated laws to protect trademarks. In the past, there have also been researches on similar trademark searches to assist in trademark protection. Although the original trademark is protected by national laws, unfair competitors have recently used psychological methods to counterfeit the original trademark and steal its resources. Trademarks counterfeited through psychology have the characteristics of confuse consumers and do not constitute infringement under the law. Under the influence of such counterfeit trademarks, the original trademark is still not well protected. In order to effectively prevent such trademark counterfeiting through psychology, this article proposes new features based on trademark design and Gestalt psychology to assist legal judgments. These features correspond to a part of the process that is not fully understood in the human visual system and quantify them. In the experimental results, we used past cases to analyze the proposed assistance system. Discussions based on past judgments proved that the quantitative results of the proposed system are similar to the plaintiff or the judgment to determine the reasons for plagiarism. This result shows that the assistance system proposed in this article can provide visually effective quantitative data, assist the law to prevent malicious plagiarism on images by unfair competitors, and reduce the plagiarism caused by the similar design concepts of late trademark designers.","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"2021 1","pages":"1-18"},"PeriodicalIF":2.4,"publicationDate":"2021-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42760039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net","authors":"Yang Yu, Hongqing Zhu","doi":"10.1186/s13640-021-00546-6","DOIUrl":"https://doi.org/10.1186/s13640-021-00546-6","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"112 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-021-00546-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65718581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Steganographic visual story with mutual-perceived joint attention","authors":"Yanyang Guo, Hanzhou Wu, Xinpeng Zhang","doi":"10.1186/s13640-020-00543-1","DOIUrl":"https://doi.org/10.1186/s13640-020-00543-1","url":null,"abstract":"","PeriodicalId":49322,"journal":{"name":"Eurasip Journal on Image and Video Processing","volume":"2021 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13640-020-00543-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65718480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}