The Study of Spatial Characteristics extraction and retrieval Based on Granular Computing
Zhou Yong-jie · Microcomputer Information · 2012
The image is divided into several sub-block through the quadtree algorithm.According to the color histogram of sub block,combined the extraction of image's space characteristics and color characteristics.Then use the granular computing theory to granulate the spatial characteristic extracted from image.This way,we can get a feature vector and normalize it.Based on that,associating the relevance feedback mechanism with that to design the man-machine interactive synthesis algorithm of image retrieval that integrate image's multiple features based on granular computing.This algorithm has low complexity.It can greatly improve the efficiency and accuracy of image retrieval.