2010 6th Iranian Conference on Machine Vision and Image Processing最新文献_第4页

Retinal vessel segmentation using color image morphology and local binary patterns 利用彩色图像形态学和局部二值模式分割视网膜血管

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941129

S. M. Zabihi, Morteza Delgir, H. Pourreza

引用次数: 21

A fast traffic sign detection and classification system based on fusion of colour and morphological information 基于颜色和形态信息融合的快速交通标志检测与分类系统

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941175

M. Khodadadzadeh, Omid Sarrafzade, H. Ghassemian

引用次数: 5

A new retinal vessel segmentation method using preprocessed Gabor and local binary patterns 一种基于Gabor和局部二值模式的视网膜血管分割新方法

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941171

M. Shahram Moin, Hamed Rezazadegan Tavakoli, A. Broumandnia, Ieee Senior Member

{"title":"A new retinal vessel segmentation method using preprocessed Gabor and local binary patterns","authors":"M. Shahram Moin, Hamed Rezazadegan Tavakoli, A. Broumandnia, Ieee Senior Member","doi":"10.1109/IRANIANMVIP.2010.5941171","DOIUrl":"https://doi.org/10.1109/IRANIANMVIP.2010.5941171","url":null,"abstract":"A new retinal vascular tissue segmentation algorithm, which utilizes Gabor wavelet and local binary patterns, is introduced. It would be shown that how a simple preprocessing step would increase the accuracy of algorithm. Different features have been proposed for retinal vessel detection. One of the most famous features adapted is Gabor wavelet. Thanks to multi-resolution property of Gabor, combination of scales can be used to extract features. However, similar features in feature vector would increase the inter-correlation and may lead to poor result. Also, Local Binary Pattern (LBP) is applied. LBP is a powerful feature for texture analysis. A wise pre-processing strategy is applied to image with regard to feature extraction technique. Contrary to previous methods where a simple pre-processing scheme applied for all feature extraction methods, here each feature extraction will utilize its own suitable preprocessing. It is showed that this enhances the result of segmentation. The proposed method has a low dimension feature vector having only four features. The pre-processing step enhances the results in comparison to a previous method in term of area under the ROC curve The computational results of simulations show the high performance of the proposed method in term of accuracy and speed.","PeriodicalId":350778,"journal":{"name":"2010 6th Iranian Conference on Machine Vision and Image Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121341632","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: 6

Machine printed Farsi/Arabic sub-words retrieval by shape signatures 机器印刷波斯语/阿拉伯语分词检索的形状签名

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941143

S. Mozaffari, Parnia Bahar

引用次数: 0

EM segmentation algorithm for colour image retrieval 彩色图像检索的EM分割算法

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941146

Majid Fakheri, T. Sedghi, M. Amirani

引用次数: 1

Using 2DLDA feature extraction in Handwritten Persian/Arabic Digit Recognition 2DLDA特征提取在手写波斯语/阿拉伯语数字识别中的应用

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941159

B. Moradi, A. Mirzaei

引用次数: 1

Performance enhancement of PCA-based face recognition system via gender classification method 基于性别分类方法的pca人脸识别系统性能增强

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941142

R. Akbari, S. Mozaffari

引用次数: 11

Color image retrieval using intuitionistic fuzzy sets 基于直觉模糊集的彩色图像检索

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941161

F. Afsari, E. Eslami

{"title":"Color image retrieval using intuitionistic fuzzy sets","authors":"F. Afsari, E. Eslami","doi":"10.1109/IRANIANMVIP.2010.5941161","DOIUrl":"https://doi.org/10.1109/IRANIANMVIP.2010.5941161","url":null,"abstract":"In this paper, a new attempt is being made using Attanassov's intuitionistic fuzzy set theory for image retrieval. Intuitionistic fuzzy sets consider not only membership degree of belonging but also take into account the uncertainty involved in membership degree known as hesitation measure. Color features (expressed in various color representation systems), were intensively used (independently or jointly) during the last decade. We propose to revisit the use of color image contents as image descriptors through the introduction of fuzziness, which naturally arise from the imprecision or vagueness of the pixel color values and human perception. This has been applied in the HSV color space. Hue and value are two color features that are used to construct intuitionistic fuzzy sets; we construct two-dimensional sets which are more suitable than one-dimensional ones. Another key aspect of our method is using fuzzy quantities as a similarity measure between two intuitionistic fuzzy sets instead of a real number due to the imprecision of the similarities. To show the robustness of the proposed method, many experiments with large databases are performed and the results show the high performance of finding similar images.","PeriodicalId":350778,"journal":{"name":"2010 6th Iranian Conference on Machine Vision and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405023","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

A novel logarithmic edge detection algorithm 一种新的对数边缘检测算法

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941181

M. Alipoor, Z. Ebrahimi, J. Haddadnia

引用次数: 10

Error diffusion halftone image watermarking based on SVD-DWT technique 基于SVD-DWT技术的误差扩散半色调图像水印

2010 6th Iranian Conference on Machine Vision and Image Processing Pub Date : 2010-10-01 DOI: 10.1109/IRANIANMVIP.2010.5941170

Marzieh Amini, K. Yaghmaie, H. Sadreazami

引用次数: 9