Associative Memory Model for Color Image Clustering
Manish Maheshwari, Sindhu Shrivatri · 2015
Pattern Association is the process of forming association between related patterns that maps a set of input patterns to a set of output patterns. The pattern that has to be associated may be of same type or of a different type. Associative memory net can be seen as a simplified model of a human brain which stores and retrieves patterns by association. In this paper, an efficient new fuzzy model for association of color image is introduced. A new color quantization ordering scheme that focuses on color as feature and considers Hue-Value and Saturation (HVS) space is proposed. Using fuzzy if-then rules pixel color is quantized into 54 colors. Fuzzy histogram of these 54 colors is calculated and stored in feature database. We propose a simplified associative memory model to store associations between feature vectors.