NDLI: Segmentation for Plate Microscopic Image

Content Provider	IEEE Xplore Digital Library
Author	Xu Yongchi Zhou Shisheng Xu Jinlin
Copyright Year	2008
Description	Author affiliation: Zhejiang Ind. & Trade Polytech., Xian (Xu Jinlin) \|\| Xi'an Univ. of Technol., Xian (Xu Yongchi; Zhou Shisheng)
Abstract	With the rapid development of the Computer-To-Plate (CTP) technology, the detection and control of the dot area coverage on the plate become one of the key technologies to control quality during printing and copy processes. With regards to the characteristic of low contrast in plate image and fuzzy dot edge, the Fuzzy C-Means (FCM) clustering algorithm is proposed to segment the microscopic image on the plate in this paper. In order to obtain better result, the comparison among the FCM clustering algorithm, the weighted FCM clustering algorithm based on two-dimensional histograms, and the weighted FCM clustering algorithm based on two-dimensional histograms and adaptive smoothing factor m is carried out. Experimental results are given to demonstrate more accurate segmentation of the plate microscopic image with the help of specially designed pre-processing method on the weighted FCM clustering algorithm based on two-dimensional histograms and adaptive smoothing factor m.
Starting Page	233
Ending Page	236
File Size	564698
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.960
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Printing Algorithm design and analysis Image segmentation Histograms Smoothing methods Microscopy Image edge detection Industrial control Clustering algorithms Computer industry
Content Type	Text
Resource Type	Article

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