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ICIP
2003
IEEE
15 years 15 days ago
Blood vessel segmentation using moving-window robust automatic threshold selection
Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with Robust Automatic Threshold Selection are developed. The results show that fa...
Michael H. F. Wilkinson, T. Wijbenga, G. de Vries,...
ICPR
2010
IEEE
13 years 8 months ago
Automatic Attribute Threshold Selection for Blood Vessel Enhancement
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
Fred N. Kiwanuka, Michael H. F. Wilkinson
ISCAS
2003
IEEE
345views Hardware» more  ISCAS 2003»
14 years 4 months ago
An efficient blood vessel detection algorithm for retinal images using local entropy thresholding
This paper presents an efficient method for automatic detection and extraction of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossov...
Thitiporn Chanwimaluang, Guoliang Fan
ICPR
2010
IEEE
14 years 3 months ago
Vessel Bend-Based Cup Segmentation in Retinal Images
In this paper, we present a method for cup boundary detection from monocular colour fundus image to help quantify cup changes. The method is based on anatomical evidence such as v...
Gopal Datt Joshi, Jayanthi Sivaswamy, Kundan Karan...
ICIAP
2001
Springer
14 years 11 months ago
Remote Sensed Images Segmentation through Shape Refinement
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of i...
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,...