DocumentCode :
3175321
Title :
Hough spectrum and geometric texture feature analysis
Author :
Zhang, Ming ; Jaggi, Bruno ; Palcic, Branko
Author_Institution :
Dept. of Radiol., Chicago Univ., IL, USA
Volume :
2
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
583
Abstract :
Traditionally, statistical and structural method are the two major approaches in texture description. However, there are also texture patterns of other natures, such as those of breast tissue on a mammogram which manifest a geometric feature. This paper proposes a new approach to measure geometric texture feature of an image on its Hough spectrum. The preliminary application of this texture descriptor to mammographic image processing shows its potential in the detection of spiculated masses
Keywords :
image texture; Hough spectrum; feature analysis; geometric texture; mammographic image processing; spiculated masses; texture descriptor; Breast tissue; Cancer; Equations; Feature extraction; Image analysis; Image processing; Image texture analysis; Lesions; Radiology; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
Type :
conf
DOI :
10.1109/ICPR.1994.577046
Filename :
577046
Link To Document :
بازگشت