DocumentCode :
1590305
Title :
A threshold segmentation algorithm based on neighbourhood characteristics
Author :
Guangyou, Jiang ; Gewen, Kang
Author_Institution :
China Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
Volume :
3
fYear :
2011
Firstpage :
328
Lastpage :
331
Abstract :
Image threshold segmentation, which means to divide the image data into different regions by giving the appropriate segmentation threshold and the corresponding based on the characteristics of the image and the corresponding rules, is a widely used and effective method in the image processing. This article, which introduces the classic method of image segmentation principle and their advantages and disadvantages firstly, investigates image neighbourhood gray features basic theories, and analyses the visual characteristics segmentation images of practical engineering application. It mainly presents a new image visual characteristic test operator used for the project image object detection and segmentation system. This algorithm can obtain good segmentation effect through the contrast.
Keywords :
edge detection; image segmentation; object detection; image neighbourhood gray features; image threshold segmentation; neighbourhood characteristics; project image object detection; visual characteristic test operator; Algorithm design and analysis; Educational institutions; Gray-scale; Image edge detection; Image segmentation; Instruments; Noise; detection operators; neighborhood characteristics; recognition and detection; threshold segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
Type :
conf
DOI :
10.1109/ICEMI.2011.6037917
Filename :
6037917
Link To Document :
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