Presentation 1997/4/18
Contrast independent detection method of curvilinear convex regions
Y. Yoshinaga, H. Kobatake,
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Abstract(in English) We recognize a region of almost rectilinear high intensity mound as a kind of lines. There are few methods to detect such "line" as compared with edge detection methods. In this work, we propose a filter to detect, and/or enhance curvilinear convex regions. They are represented as line-convergence vector fields and the filter output is define as the average of line-convergence degree in the region of support, of the proposed filter, which is adapted to the distribution of gradient vector field. The filter output is a function of only gradient vector orientations and it is free from absolute intensity and relative contrast variations. Practical computation procedure is also given. in which GAWHT (Gradient-Angle-Weighted Hough Transform) is adopted. Experiments using artificial image and real medical image, are shown, whose results show the effectiveness of the proposed filter.
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Keyword(in English) curvilinear convex region / gradient vector convergence
Paper # DSP97-6,IE97-6
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Committee IE
Conference Date 1997/4/18(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Contrast independent detection method of curvilinear convex regions
Sub Title (in English)
Keyword(1) curvilinear convex region
Keyword(2) gradient vector convergence
1st Author's Name Y. Yoshinaga
1st Author's Affiliation Graduate School of Technology. Tokyo Univ. of Agri. and Tech.()
2nd Author's Name H. Kobatake
2nd Author's Affiliation Graduate School of Bio-Applications and Systems Engineering Tokyo Univ. of Agri. and Tech.
Date 1997/4/18
Paper # DSP97-6,IE97-6
Volume (vol) vol.97
Number (no) 11
Page pp.pp.-
#Pages 8
Date of Issue