REVIEW PAPER ON SEGMENTATION METHODS FOR MULTIOBJECT FEATURE EXTRACTION

Sonali Deshmukh, Anjali Yadav

Abstract: Feature extraction and representation plays a vital role in multimedia processing. It is still a challenge in computer vision system to extract ideal features that represents intrinsic characteristics of an image. Multiobject feature extraction system means a system that can extract features and locations of multiple objects in an image. In this paper we have discuss various methods to extract location and features of multiple objects and describe a system that can extract locations and features of multiple objects in an image by implementing an algorithm as hardware logic on a field-programmable gate array-based platform. There are many multiobject extraction methods which can be use for image segmentation based on motion, color intensity and texture. By calculating zeroth and first order moments of objects it is possible to obtain locations and sizes of multiple objects in an image.

Keywords: multiobject extraction, image segmentation

DOI: https://doi.org/10.15623/ijret.2014.0312009