Title :
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
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;
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
DOI :
10.1109/ICIEA.2009.5138633
