A Study on the Effect of Canny Edge Detection on Downscaled Images

Title

A Study on the Effect of Canny Edge Detection on Downscaled Images

Creator

Kim Y.W.; Innila Rose J.; Krishna A.V.N.

Description

Abstract: Nowadays user devices such as phones, tablets etc. allows processing the images with help of high-end applications and softwares developed. Most of the times, the images are downscaled to make them compatible with these end devices. This leads to the loss of image quality. This loss of information on downscaling an image results in distortion of edges and while zoomed in results into a blurred image. As the edge detection is a basic step for many image processing applications such as object detection, object segmentation, object recognition, etc. It is necessary to know the impact of edge detection on downscaled image. In this paper, we are using Canny Edge detection method to detect the edges. The original images are downscaled using different interpolation methods. Canny Edge detection is applied on original images and downscaled images to compare the distortion in the edges. We used Structural Similarity Index Method for comparison. We are also comparing execution time taken by Canny Edge Detection on different interpolation methods to check for optimal interpolation method. We observed that the distortion in edges and time efficiency differ for different interpolation methods which are detailed below in the result section. As blurring is also a disadvantage of downscaling, we are applying Gaussian Blur on the images to compare the blurring due to Gaussian blur technique and blurring due to downscaling. 2020, Pleiades Publishing, Ltd.

Source

Pattern Recognition and Image Analysis, Vol-30, No. 3, pp. 372-381.

Date

2020-01-01

Publisher

Pleiades journals

Subject

Canny Edge detection; Gaussian blur; image interpolation; structural similarity index method

Coverage

Kim Y.W., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Innila Rose J., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India

Rights

Restricted Access

Relation

ISSN: 10546618

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1134/S1054661820030116

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091068712&doi=10.1134%2fS1054661820030116&partnerID=40&md5=3598b8904796365171c724815ea693ee