Analysis of Image Properties for Classifying Different Images into Clusters (AIPCDIC)

Features and Properties of an image represents the quality of the given image. In this paper Analysis of Image Properties for Classifying Different Images into Clusters (AIPCDIC) we present the overview of various Features and properties which can be extracted from a gray image are presented. The basic image properties like Brightness, Contrast, Entropy, Skewness, Kurtosis, Spatial Frequency, Visibility and Intensity are calculated for given set of images. Further images are to be grouped into separate clusters according to their features and properties. Different Image Attributes are extracted for Contrast, Weibull and Fractal Images. The test images includes good visible images to human eye, moderate and blurred images.