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2007 International Conference on Machine Vision最新文献

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Texture features based on Fourier transform and Gabor filters: an empirical comparison 基于傅里叶变换和Gabor滤波器的纹理特征:经验比较
2007 International Conference on Machine Vision Pub Date : 2007-12-28 DOI: 10.1109/ICMV.2007.4469275
U. A. Ahmad, K. Kidiyo, R. Joseph
{"title":"Texture features based on Fourier transform and Gabor filters: an empirical comparison","authors":"U. A. Ahmad, K. Kidiyo, R. Joseph","doi":"10.1109/ICMV.2007.4469275","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469275","url":null,"abstract":"This paper presents an empirical comparison of two texture descriptors reported in recent publications. The first one is based on discrete Fourier transform (DFT) and the other is based on the Gabor filters. The two are compared for texture recognition and retrieval. To have deeper insight in to the role of neighbourhood properties and the filter banks in the texture description, extensive experimentation is performed over the image sets containing noisy and rotated variants of the textures from Brodatz album. A method for estimating rotation variance (RV) of a texture descriptor is also presented, which gives an idea of how rotation-sensitive is a certain texture descriptor. The results establish that the DFT-based features outperform the features based on Gabor filters in noiseless conditions whereas the later outperform otherwise.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125697438","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: 30
Computer aided diagnosis of skin carcinomas based on textural characteristics 基于纹理特征的皮肤癌计算机辅助诊断
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469285
M. A. Chaudhry, R. Ashraf, M. N. Jafri, M. Akbar
{"title":"Computer aided diagnosis of skin carcinomas based on textural characteristics","authors":"M. A. Chaudhry, R. Ashraf, M. N. Jafri, M. Akbar","doi":"10.1109/ICMV.2007.4469285","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469285","url":null,"abstract":"Computer aided diagnostics CAD has become one of the major research subjects in medical imaging and diagnostics radiology. The basic concept of CAD is to provide the computer aided output as a second opinion to assist the radiologist. It improves the diagnostic accuracy and reduces image reading and interpretation time. In this paper, we propose a method of discriminating different skin carcinomas based upon their textural attributes by using wavelets. Single mother wavelet is designed to distinguish between the healthy and infected skin tissues. Classification is performed by SVMs, proposed method shows accuracy of 89%.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124720996","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: 4
Wide baseline stereo based on background modeling 基于背景建模的宽基线立体
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469265
R. Iqbal, M.J. Khan
{"title":"Wide baseline stereo based on background modeling","authors":"R. Iqbal, M.J. Khan","doi":"10.1109/ICMV.2007.4469265","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469265","url":null,"abstract":"Correspondence is one of the basic and most important problems in computer vision. Correct correspondence can be achieved through stereopsis and state of art algorithms have emerged for computation of dense correspondence incase of short baseline. Incase of wide baseline, maintaining correspondence in outdoor environment is a challenging task. First, A new concept of \"motion from stereo\" is presented, in which wide baseline is treated as summation of small baselines and correspondence is maintained all along it. To achieve this, correspondence based background modeling approach is extended to moving camera case. Second, occlusion among images is treated in a probabilistic manner and is modeled through Bayesian network. Third, a complete framework is presented to achieve correct correspondence. Experimental results validate that the framework is robust to nominal jitter, outdoor scenes artifacts e.g. swaying of trees, shimmering of water etc.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132711928","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
Procrustes — based shape prior for parametric active contours 基于Procrustes的参数化活动轮廓形状先验
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469287
Mehdi Kamandar, S. Seyedin
{"title":"Procrustes — based shape prior for parametric active contours","authors":"Mehdi Kamandar, S. Seyedin","doi":"10.1109/ICMV.2007.4469287","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469287","url":null,"abstract":"A novel method of parametric active contours with geometric shape prior is presented in this paper. The main idea of the method consists in minimizing an energy function that includes additional information on a shape reference called a prototype. Prior shape knowledge is introduced through a complete family of Euclidean invariants, computed from the similarity between shape of evolving contour and the prototype. This similarity is measured by full Procrustes distance. This extra knowledge enhances the model robustness to noise, occlusion and complex background. We use genetic algorithm to minimize energy function of this new type of snake that we call it Procrustes snake. The variational formulation of the proposed approach is described in details. We obtain promising results with synthetic and real images which show the power of our method for segmentation tasks.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319387","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
Equivalence of oblique and frontal illumination in perspective shape from shading 斜面和正面照明在透视形状上的等效
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469264
C. Chow, S. Y. Yuen
{"title":"Equivalence of oblique and frontal illumination in perspective shape from shading","authors":"C. Chow, S. Y. Yuen","doi":"10.1109/ICMV.2007.4469264","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469264","url":null,"abstract":"In this paper, it is shown that any oblique illumination shape-from-shading problem under perspective projection for Lambertian reflection and a single distant light source can be converted to an equivalent frontal illumination problem by a simple nonlinear intensity transformation which is equivalent to a rectification in stereo vision. Remarkably, it involves no approximation of depth. The method is evaluated on perspective shape-from-shading involving wide range of oblique angles.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720839","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
Classification of potential nuclei in prostate histology images using shape manifold learning 利用形状流形学习对前列腺组织图像中的电位核进行分类
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469283
M. Arif, N. Rajpoot
{"title":"Classification of potential nuclei in prostate histology images using shape manifold learning","authors":"M. Arif, N. Rajpoot","doi":"10.1109/ICMV.2007.4469283","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469283","url":null,"abstract":"The demanding step in the development of ancillary systems for the diagnosis of cancer and other diseases based on nuclear morphometry is the delineation of nuclei in the images of stained tissue sections. Various constituents of the tissue section such as cellular and extra-cellular elements, staining artefacts, debris of nuclei, and clusters of overlapping nuclei apart from the image acquisition noise to name a few contribute to in the complexity of the task. In this paper, we pose the problem of selection of nuclei in tissue section as classification of shapes using manifold learning on training images followed by out-of-sample extension for unknown test images. Experimental results demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115215253","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: 27
A study on partial face recognition of eye region 眼区人脸局部识别的研究
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469271
C. Teo, H. Neo, A. Teoh
{"title":"A study on partial face recognition of eye region","authors":"C. Teo, H. Neo, A. Teoh","doi":"10.1109/ICMV.2007.4469271","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469271","url":null,"abstract":"In this preliminary study, we have investigated the human eye as an important part of face for personal authentication under certain restricted circumstances related to face occlusion, individual privacy concerns and religious practices. Although this part of face is not as unique as full-face, but it offers much higher computational efficiency with minimum processing steps, and minimum storage capacity as compared to full-face. In our experiments, the frontal human eye images are generated from Essex dataset with 153 subjects. The images are tested with non-negative matrix factorization (NMF), local NMF (LNMF) and spatially confined NMF (SFNMF) respectively. Our experiments show that LNMF performs most optimally to attain 95.12% recognition rate, follow by SFNMF and NMF, which achieve 94.48% and 93.23%, respectively. It is evidenced that LNMF and SFNMF performs better than sole plain NMF. Besides, another goal of this paper is to study the influence of r, to which degree the basis number is sufficient to achieve the optimal recognition rate.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116536569","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: 15
Shape and structure for image matching and retrieval 形状和结构的图像匹配和检索
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469277
N. Khattak, G. Stockman
{"title":"Shape and structure for image matching and retrieval","authors":"N. Khattak, G. Stockman","doi":"10.1109/ICMV.2007.4469277","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469277","url":null,"abstract":"We report on methods for using object shape and structure for matching a pair of images or an image and a drawing. These methods can be used in combination with the several methods using color and texture already in use in content based image retrieval (CBIR). Matching methods are based on edges, corners, and ribbons and the relations among them and can be controlled for rotation, translation, and scale invariance. Good results are shown on a small but diverse sample of images with man-made structure. Although we have been oriented toward CBIR because image parts are put into correspondence, the methods are also of general use in object tracking, recognition, registration, structural stereo, or perhaps even detection of shot boundaries in video.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824818","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
Online incremental random forests 在线增量随机森林
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469281
H. E. Osman, H. Osamu
{"title":"Online incremental random forests","authors":"H. E. Osman, H. Osamu","doi":"10.1109/ICMV.2007.4469281","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469281","url":null,"abstract":"In this paper, we propose online method for generating relevant feature incrementally to be learned simultaneously with random forests algorithm. The algorithm iteratively estimates the importance of variables and selects them accordingly based on correlation ranking. We test our method by sequential forward/backward selection approach. Empirical comparisons with 3 other state-of-the-art batch mode features selection approaches (Gini index, ReliefF, Gain ratio) are very encouraging. Using 12 UCI datasets we demonstrate experimentally that that our online methods prediction performs comparably to other batch learning counterpart algorithms.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120973633","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: 10
A new fast no search fractal image compression in DCT domain 一种新的快速无搜索分形图像压缩方法
2007 International Conference on Machine Vision Pub Date : 2007-12-01 DOI: 10.1109/ICMV.2007.4469274
M. Salarian, H. Hassanpour
{"title":"A new fast no search fractal image compression in DCT domain","authors":"M. Salarian, H. Hassanpour","doi":"10.1109/ICMV.2007.4469274","DOIUrl":"https://doi.org/10.1109/ICMV.2007.4469274","url":null,"abstract":"In this paper a new no search fractal image compression in DCT domain is proposed. Here for each range block we have considered one domain block and searched only for contrast scaling. Therefore the fractal code doesn't contain coordinates of matched domain block. The advantage of this method is that the quadtree algorithm can be applied and the size of the range block can be as small as 2times2 pixels. Therefore the quality of decoded image can be improved while the compression rate is maintained. Some simulation results verify that the proposed method achieved higher coding - performance than no search methods In spatial and wavelet domain.","PeriodicalId":238125,"journal":{"name":"2007 International Conference on Machine Vision","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126939745","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: 24
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