Comparative Analysis of Various Edge Detection Techniques for Bio Medical Images
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 7)Publication Date: 2014-07-30
Authors : Kapil Mangla; Rinni Garg;
Page : 461-465
Keywords : About four key words or phrases in alphabetical order; separated by commas;
Abstract
Edges characterize boundaries and are therefore considered for prime importance in image processing. Edge detection filters out useless data, noise and frequencies while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection methods. In this paper the comparative analysis of various Image Edge Detection methods is presented. The evidence for the best detector type is judged by studying the edge maps relative to each other through statistical evaluation. Upon this evaluation, an edge detection method can be employed to characterize edges to represent the image for further analysis and implementation. It has been shown that the Canny's edge detection algorithm performs better than all these operators under almost all scenarios. eywor
Other Latest Articles
- Evaluation of influence of track and field athletics on speed-strength performance of students during the school week
- PSYCHOLOGICAL FEATURES OF RELATIONSHIP BETWEEN STUDENTS AND TRAINING SPECIALIST
- THE HOLOGRAPHIC TRANSFORMATION PRINCIPLES OF ACTIVITY AT THE TRANSITION STAGE TO NOOSPHERICAL HUMANITY
- Morfofunctional state of graduating cadets of higher military educational establishments, which went in for weight sport during studying
- PROBLEM OF CREATION OF SOCIAL IMAGES OF RELIGIOUS UPBRINGING
Last modified: 2014-08-04 20:08:56