Content image Retrieval using texture of the image.
Texture retrieval is the process of retrieving image content based on texture similarity. This may not seem very useful, since we are not using color content. On the other hand, the ability to match on texture similarity can often be useful in distinguishing between areas of images with similar color (such as sky and the sea). Several techniques have been used to measure texture similarity, well known techniques rely on comparing values calculated from query and stored images. From the values, it is possible to calculate measures of image texture such as the degree of contrast,coarseness, directionality and regularity or periodicity, directionality and randomness. Different filters such as prewitt, Sobel, Roberts. We use the Sobel filter which is discussed later in the report. Texture queries can be formulated in a similar manner to color queries, by selecting examples of desired textures from a palette, or by supplying an example query image. The system then retrieves images with texture measures most similar in value to the query.
