An improved edge detection algorithm based on image fuzzy enhancement

Author

Zhang, Daode ; Zhan, Bisheng ; Yang, Guangyou ; Hu, Xinyu

Author_Institution

Sch. of Mech. Eng., Hubei Univ. of Technol., Wuhan

fYear

2009

fDate

25-27 May 2009

Firstpage

2412

Lastpage

2415

Abstract

To get better effect in the edge detection, an improved edge detection algorithm based on image fuzzy enhancement is presented through analyzing the defects of Pal algorithm. The algorithm not only simplifies the complex transformation calculation of fuzzy space by using the enhancement algorithm based on grayscale fuzzy sets, but also adopts the improved method of maximum variance between clusters to determine the threshold value of the enhancement function, which overcomes the deficiency of choosing fuzzy enhancement threshold value in Pal algorithm at random. In addition, image-smoothing processing of the fuzzy sets has been done before fuzzy enhancement processing. The result shows the method reasonable and effective.

Keywords

edge detection; fuzzy set theory; image enhancement; image segmentation; smoothing methods; complex transformation calculation; edge detection algorithm; fuzzy space; grayscale fuzzy sets; image fuzzy enhancement; image smoothing processing; threshold value determination; Algorithm design and analysis; Clustering algorithms; Fuzzy sets; Gray-scale; Image analysis; Image color analysis; Image edge detection; Image texture analysis; Iron; Mechanical engineering; edge detection; fuzzy enhancement; fuzzy sets smoothing; maximum variance between clusters;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138633

Filename

5138633