HSV Color Histogram Based Content Based Image Retrieval

I. Samuel Peter James; D. Magdalene Delighta Angeline

HSV Color Histogram Based Content Based Image Retrieval

I. Samuel Peter James ¹, D. Magdalene Delighta Angeline ²

Affiliations
1 Department of Computer Science and Engineering, Chandy College of Engineering, Thoothukudi, India
2 Department of Computer Science and Engineering, Dr. G. U. Pope College of Engineering, Sawyerpuram, India

The main objective of this paper is to retrieve image based on visual features where CBIR technique is used. CBIR performs retrieval based on the similarity defined in terms of extracted features with more objectiveness. Due to the enormous increase in image db sizes, as well as its vast deployment in various applications, the need for CBIR development arose. In this paper, the features like shape, texture, edge, HSV colour are extracted, feature extracted values are used to find the similarity between input query image and the db image. The image is ranked according to the minimum distance value.