Searching of Images Based on Content Using Blobs  

作　　者：Yaghoub Karimilivari Ladan Vasebi Solmaz Vasebi 

机构地区：[1]Islamic Azad University, Sarab Branch, Sarab, Iran [2]Sama Technical and Vocational Training College, Islamic Azad University, Sarab Branch, Sarab, Iran

出　　处：《Journal of Software Engineering and Applications》2012年第2期85-88,共4页软件工程与应用（英文）

摘　　要：Now a day’s image searching is still a challenging problem in content based image retrieval (CBIR) system. Most system operates on all images without pre-sorting the images. The image search result contains many unrelated image. The aim of this research is to propose a new method for content based image indexing and research based on blobs feature extraction and existing edges in the image and classification of image to different type and to search image which are similar the given research.Now a day’s image searching is still a challenging problem in content based image retrieval (CBIR) system. Most system operates on all images without pre-sorting the images. The image search result contains many unrelated image. The aim of this research is to propose a new method for content based image indexing and research based on blobs feature extraction and existing edges in the image and classification of image to different type and to search image which are similar the given research.

关 键 词：INDEXING RETRIEVAL BLOB Classification NEURAL Network Image Edge 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]