A NEW EDGE DETECTION METHOD THROUGH TEMPLATE MATCHING-Reference-Cited by-同舟云学术

A NEW EDGE DETECTION METHOD THROUGH TEMPLATE MATCHING

Published:1994-08 Issue:04 Volume:08 Page:899-917
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

WANG MAO-JIUN J.¹,CHANG SHIAU-CHYI¹,LIU CHIH-MING¹,WU WEN-YEN¹

Affiliation:

1. Department of Industrial Engineering, National Tsing Hua University Hsinchu, Taiwan, 30043, R.O.C.

Abstract

This paper reviews some gradient edge detection methods and proposes a new detector — the template matching edge detector (TMED). This detector utilizes the concepts of pattern analysis and the template matching of 3×3 masks. A set of performance criteria was used to evaluate the gradient edge detectors as well as the template matching edge detector. The results indicate that the new method is superior to the other gradient edge detectors. In addition, the template matching edge detector has also demonstrated good performance on noisy images. It can obtain very precise edge detection of single pixel width.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001494000462

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