Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space

Color is a rich and complex experience, usually caused by the vision system responding differently to different wavelengths of light (other causes include pressure on the eyeball and dreams). Color of object can play an important role in recognizing that object from the image. Different kinds of color spaces have been established and studied in the past for image retrieval. In this paper also we have studied hue, saturation and value (HSV) color space. We used a feature extraction technique based on the adaptive segmentation of the image using its color information. By using different ranges of hue, saturation and value, image is first classified into n number of areas, and then each area is partitioned into m number of segments. Our focus is in the domain of photographic images with an essentially unlimited range of topics. We have used a Web-based retrieval system for feature extraction and image retrieval.