Abstract
A very common task in image processing is the segmentation of the image in areas that are uniform in the sense of its features. Various applications can benefit even from partial segmentation, which is performed without need of physical of semantic knowledge. Several segmentation methods exist, but none that is applicable to all tasks. We use color and perceptual texture information to segment color images. Perceptual texture features are the features that can be qualified in simple descriptions by humans. Color information is represented in a perceptual way, using hue, value and saturation. These features' values are represented by histograms that integrates texture information around a small area. Segmentation and classification are obtained by comparing histograms of classes with the histograms of the area around the pixel being classified. We build a small application that uses remote sensing imagery and allows a user to interactively segment a Landsat TM-5 image using color and texture information. The steps and intermediate results of the classification are shown. The results are visually good, and the segmentation using color and texture information is more coherent than the using only color.
Published Version
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