Feature Extraction Of Content-based image retrieval Using object Segmentation and HAQ algorithm

객체 분할과 HAQ 알고리즘을 이용한 내용 기반 영상 검색 특징 추출

Compared with other features of the image, color features are less sensitive to noise and background complication. Besides, this adding to object segmentation has more accuracy of image retrieval. This paper presents object segmentation and HAQ(Histogram Analysis and Quantization) algorithm approach to extract features(the object information and the characteristic colors) of an image. The empirical results shows that this method presents exactly spatial and color information of an image as image retrieval's feature.