Refine your search
Collections
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Guptha, Nageswara
- A Survey on Different Edge Detection Techniques for Image Segmentation
Abstract Views :237 |
PDF Views:0
Authors
Affiliations
1 Department of ISE, Sri Venkateshwara College of Engineering, Bengaluru - 562157, Karnataka, IN
1 Department of ISE, Sri Venkateshwara College of Engineering, Bengaluru - 562157, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 10, No 4 (2017), Pagination:Abstract
Objectives: To compare different edge detection techniques for the effective performance results with respect to complex images. Methods: This paper compares and analyses the performance of diverse edge detection techniques for recent digital image processing like canny optimal edge detection, sobel operator, prewitt operator and LoG. Findings: Canny Optimal Edge detection (COE) technique provides better performance results under noise images or complex images when compared to other techniques. In COE the result of PSNR is high which helps to identify the effective edges.Keywords
Canny edge detection, Classical Operator Edge detection, Edge detection algorithm, Image segmentation.- Anonymizing Sensitive Based Qualities Utilizing Hadoop Framework
Abstract Views :189 |
PDF Views:0
Authors
Affiliations
1 Department of ISE, Sri Venkateshwara College of Engineering, Vidyanagara Cross, Bangalore International Airport Road, Bettahalasur Post Yelahanaka, Bengaluru – 562157, IN
1 Department of ISE, Sri Venkateshwara College of Engineering, Vidyanagara Cross, Bangalore International Airport Road, Bettahalasur Post Yelahanaka, Bengaluru – 562157, IN