AN EVALUATION APPROACH FOR DETECTION OF CONTOURS WITH 4-D IMAGES: A REVIEW

Asmita A. Pawar, Anita L. Devkar, Ashwini A. Patil

Abstract: Abstract This paper presents a survey of contour detection and the actual use of contour in image processing. Image processing is an enhanced area in computer science. Contour detection is the part of image processing. Contours are highly depends on quality of an image. Contour is nothing but the simple boundaries or outlines in an image. Contour detection is nearly related with image segmentation, classification and recognition of any object in an image. With help of contour detection we can achieve the high accuracy of the results. Object recognition image retrieval uses the concept of contour detection to achieve the high accuracy in the results, so it’s an enhanced and popular method in image processing. Active contour model is also one of the main techniques in contour detection. Active contour is one of the successful models in image processing. This is a modified method of contour detection. It consists of evolving an image with help of boundaries. Active contour model is also called as snake. Contour detection plays an important role in recognition

Keywords: 4D images, Contour Detection, Image Segmentation, Image Classification etc

DOI: https://doi.org/10.15623/ijret.2016.0503064