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image object partitioning using cue point technique

Aishvarya Sri.K.S,

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:1         Issue:1         Year: 06 June,2013         Pages:17-24

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

An astonishing senses that living things ever want to be without is-Vision. Vision is a powerful sense of living things that detects light. Every object or scene is a collection of light that our eyes visualize. In this paper, Identification of object and nature of the object in the scene-typically called image are done by partitioning the scene. Based on the relativity of the data in the scene, it is partitioned to non overlapping compact region by making predominant boundaries. By utilizing the static cues technique such as color and texture, all possible boundary locations in the image which are the edge pixels with positive color or texture gradient are found out. After analysis, the probability of these edge pixels, depth and contact boundary is determined to identify the edge of an image objects in a picture. Using the technique of probabilistic edge map, the intensity of a pixel is set to be the probability to be either depth or contact boundary in the scene. Based on the grouping features such as the position, elevation, orientation, the objects are recognized with the direct scene access. Thereby the expression of the object is identified by trained user object of the framework. Thus my experiment shows the proposed method as Image Object Partitioning with cue point.

Kewords

static cues, depth Boundary, contact boundary, probabilistic edge map.

Reference

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