Texture Construction Edge Detection Algorithm
The edge detection algorithm is the cornerstone of image processing; a good edge detection result can further extract the required information through rich texture information and achieve object detection, segmentation, and identification. To obtain a rich texture edge detection technology, this pap...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/9/5/897 |
_version_ | 1828349231706931200 |
---|---|
author | Shou-Cih Chen Chung-Cheng Chiu |
author_facet | Shou-Cih Chen Chung-Cheng Chiu |
author_sort | Shou-Cih Chen |
collection | DOAJ |
description | The edge detection algorithm is the cornerstone of image processing; a good edge detection result can further extract the required information through rich texture information and achieve object detection, segmentation, and identification. To obtain a rich texture edge detection technology, this paper proposes using edge texture change for edge construction and constructs the edge contour through constructing an edge texture extension between the blocks to reduce the missing edge problem caused by the threshold setting. Finally, through verification of the experimental results, the proposed method can effectively overcome the problem caused by unsuitable threshold setting and detect rich object edge information compared to the adaptive edge detection method. |
first_indexed | 2024-04-14T01:07:22Z |
format | Article |
id | doaj.art-82d7a15d3cf44c21ab81948347177ce0 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-04-14T01:07:22Z |
publishDate | 2019-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-82d7a15d3cf44c21ab81948347177ce02022-12-22T02:21:12ZengMDPI AGApplied Sciences2076-34172019-03-019589710.3390/app9050897app9050897Texture Construction Edge Detection AlgorithmShou-Cih Chen0Chung-Cheng Chiu1Department of Electrical and Electronics Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 33551, TaiwanDepartment of Electrical and Electronics Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 33551, TaiwanThe edge detection algorithm is the cornerstone of image processing; a good edge detection result can further extract the required information through rich texture information and achieve object detection, segmentation, and identification. To obtain a rich texture edge detection technology, this paper proposes using edge texture change for edge construction and constructs the edge contour through constructing an edge texture extension between the blocks to reduce the missing edge problem caused by the threshold setting. Finally, through verification of the experimental results, the proposed method can effectively overcome the problem caused by unsuitable threshold setting and detect rich object edge information compared to the adaptive edge detection method.http://www.mdpi.com/2076-3417/9/5/897edge detectionedge thinningtexture blockstexture template |
spellingShingle | Shou-Cih Chen Chung-Cheng Chiu Texture Construction Edge Detection Algorithm Applied Sciences edge detection edge thinning texture blocks texture template |
title | Texture Construction Edge Detection Algorithm |
title_full | Texture Construction Edge Detection Algorithm |
title_fullStr | Texture Construction Edge Detection Algorithm |
title_full_unstemmed | Texture Construction Edge Detection Algorithm |
title_short | Texture Construction Edge Detection Algorithm |
title_sort | texture construction edge detection algorithm |
topic | edge detection edge thinning texture blocks texture template |
url | http://www.mdpi.com/2076-3417/9/5/897 |
work_keys_str_mv | AT shoucihchen textureconstructionedgedetectionalgorithm AT chungchengchiu textureconstructionedgedetectionalgorithm |