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Edge based features for content based image retrieval

✍ Scribed by Minakshi Banerjee; Malay K. Kundu

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
854 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis

The common problem in content based image retrieval (CBIR) is selection of features. Image characterization with lesser number of features involving lower computational cost is always desirable. Edge is a strong feature for characterizing an image. This paper presents a robust technique for extracting edge map of an image which is followed by computation of global feature (like fuzzy compactness) using gray level as well as shape information of the edge map. Unlike other existing techniques it does not require pre segmentation for the computation of features. This algorithm is also computationally attractive as it computes di erent features with limited number of selected pixels.

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