Direction-Length Code (DLC) To Represent Binary Objects
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: More and more images have been generated in digital form around the world. Efficient way of description and classification of objects is a well needed application to identify the objects present in images. Shape is an important visual feature of an image. Searching for images using shape features has also attracted much attention. In this paper the Direction-Length Code which is also called a knowledge vector that gives the information about the direction and length of pixels in every direction in an object is generated to represent objects. The formal language attempts to simulate the structural and hierarchical nature of the human vision system. Here, sentences are strings of symbols and languages correspond to pattern class. The patterns over a 3 x 3 array of vertices have been generated which form the basic alphabet of the digital picture language. That is, one can visualize any digital image as a spatial distribution of these patterns. The Direction-Length code (DLC) compresses the bi-level images by preserving the information at the same time allowing a considerable amount of data reduction. Furthermore, these codes acts as a standard input format for numerous shape-analysis algorithms.
Authors and Affiliations
Dr G D Jasmin, , M G Justin Raj
Keywords
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