Studying the Properties of Water Plans in Satellite Images by Adopting Curvelet Transformation

Abstract

Features extraction and Texture analysis are viewed as significant activities in image processing field for different PC

applications. In this paper a proposed method for analyzing and extracting the features of water plans images based on Curvelet

transform (by decomposing the image into its components then adopting the segmentation algorithms on that components), which

offers precisely the edges because it deals with the winding information in all directions. Apply segmentation techniques to get

information in region of interest, as it is fragmented or split the image into several sections. Studying the features of texture of

water plans in satellite images of northern Mosul (Mosul dam).

Proposed algorithm segmentation need been used to extricate area for premium (water plans) from. images, which contain

limitation accuracy for edges, to be studied. The algorithm produces a set of segments, which are stored in the cells array, for

extracting features of the textures using a co-occurrence matrix .

The texture features of the image, based on the proposed approach, such as Contrast, Correlation, Energy and

Homogeneity, gave an accurate representation of texture class.