Algorithm of Image Edge Detection Based on Rough Set and Edge Information Meausure

doi:10.3969/j.issn.1006-2475.2009.10.026

Computer and Modernization ›› 2009, Vol. 1 ›› Issue (10): 92-3.doi: 10.3969/j.issn.1006-2475.2009.10.026

• 图像处理 • Previous Articles Next Articles

Algorithm of Image Edge Detection Based on Rough Set and Edge Information Meausure

LIU Rui-ling

Fashion School of Zhejiang Textile & Fashion College, Ningbo 315211, China

Received:1900-01-01 Revised:1900-01-01 Online:2009-10-15 Published:2009-10-15

Abstract

Abstract:

Basing on rough set thinking, and combining with the edge information measure, a new edge detection algorithm is proposed. At first, the definitin of edge detection measure and its property is presened. Then pixels of image are classified by the properties of noises and edge detection measure. Setting the appriate threshold, the edge points and nonedge points are distinguished, and the true edge is found. The experimental results show that this algorithm can not only effectively reduce the noises of the image, but also can precisely detect the edge position, and keep the image edges’ details well, compute quickly.

Key words: rough set, edge detection measure, edge detection

LIU Rui-ling. Algorithm of Image Edge Detection Based on Rough Set and Edge Information Meausure[J]. Computer and Modernization, 2009, 1(10): 92-3.

[1]	MAO Ming-yang, XU Sheng-chao. Continuous Attribute Discretization Algorithm of Rough Sets for BP Neural Networks Based on Particle Swarm Optimization#br# [J]. Computer and Modernization, 2023, 0(09): 115-119.
[2]	DUAN Xun, YANG Zhi-yong, JIANG Feng. An Outlier Detection Algorithm Based on Neighborhood Granular Entropy [J]. Computer and Modernization, 2022, 0(10): 19-23.
[3]	ZHAO Qi-wen, XU Kun, XU Yuan. Fast Paper Edge Detection Method Based on HED Network [J]. Computer and Modernization, 2021, 0(05): 1-5.
[4]	YAO Chuan-wen, HUANG Dao-bin, YE Ming-quan, . MR Brain Tumor Image Segmentation Based on Rough Set Adaptive Granularity [J]. Computer and Modernization, 2021, 0(01): 34-37.
[5]	LI Xi-min, LI Shu-qi. Automatic Processing Method for Cache Conflict of Multi-source Database Based on Rough Set [J]. Computer and Modernization, 2020, 0(10): 36-39.
[6]	LI Rui, WANG De-zhong. Target Detection Algorithm of Gaussian Mixture Model Combined with HED Network and Double Threshold Segmentation [J]. Computer and Modernization, 2020, 0(06): 7-.
[7]	ZHOU Hong-yu1, MA Qian-li1, MA Peng-bo2 . Detecting Method for Workpiece Size and Symmetry of Blower Rotor [J]. Computer and Modernization, 2019, 0(11): 55-.
[8]	LI Hua, JIANG Feng, YU Xu, DU Junwei, LIU Guozhu. Attribute Reduction Based on Granularity Decision Entropy [J]. Computer and Modernization, 2018, 0(04): 7-.
[9]	LIU Bo-ping1,2, MENG Sha-sha1,2, RAO Lan-xiang1,2, FU Kang1,2. Color Image Edge Detection Algorithm Based on K-means and Improved Ant Colony Optimization [J]. Computer and Modernization, 2016, 0(9): 60-63.
[10]	LIU Zhan. Image Edge Detection Algorithm Based on Local Expectation Threshold Segmentation [J]. Computer and Modernization, 2016, 0(8): 52-55.
[11]	DU Mo1,2, WANG Qing-li2. Target Location Based on Double-edge Detection [J]. Computer and Modernization, 2016, 0(8): 56-59.
[12]	HU Pan, QIN Liang-xi, YAO Hong-man. Applying Artificial Fish Swarm Algorithm to Automatically Determine Thresholds in Three-way Decision-theoretic Rough Set Model [J]. Computer and Modernization, 2016, 0(6): 97-102.
[13]	DUAN Shan-shan1, LI Xin2. An Adaptive Visual Odometry Algorithm Based on RGBD Sensors [J]. Computer and Modernization, 2016, 0(12): 73-77.
[14]	ZHU Hai-yang1, XU Gen-jiu2, LI Yuan-chen1, ZHANG Meng-qi2. Dynamic Threshold Selection of Local Region Based on Image Partition [J]. Computer and Modernization, 2016, 0(11): 53-57.
[15]	WANG Geng-ren, FAN Xin-nan, SHI Peng-fei, CHEN Wei. Underwater Dam Crack Image Enhancement Algorithm Based on Rough Set [J]. Computer and Modernization, 2015, 0(9): 35-41.

Algorithm of Image Edge Detection Based on Rough Set and Edge Information Meausure

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments