Paper Info
Title
A recursive algorithm for edge intensity and gray-level thresholds selection based on edge and contour evaluation
Abstract
A high-speed recursive algorithm has been proposed for determining multiple thresholds for a gray level of an image based on edge and contour evaluation using a two-dimensional histogram of the maximum and minimum values in a 2 x 2 window and providing that the edge map of the image is given [5]. Although it is possible in principle to determine both the edge and gray level thresholds simultaneously by expanding the previous method, this requires excessive computation (proportional to the cube of the gray levels). This paper proposes a method of simultaneously determining the thresholds for both the edge and gray level so that the coincidence between the edge and the contour is optimized. In this method, the edge intensity is defined as the difference between the maximum and minimum values in a window; conditions that each pixel in an image is a part of a contour and/or an edge are discussed; and a set of optimum thresholds is determined with a relatively small amount of computation (proportional to the square of the gray levels) by using only a 2-D histogram of two gray levels of the images after the maximum and the minimum filter.
Year
DOI
Venue
1995
10.1002/scj.4690260907
SYSTEMS AND COMPUTERS IN JAPAN
Keywords
Field
DocType
IMAGE PROCESSING,SEGMENTATION,THRESHOLD,CONTOUR,EDGE
Histogram,Recursion (computer science),Image processing,Artificial intelligence,Geometry,Grayscale,Computation,Computer vision,Segmentation,Algorithm,Pixel,Mathematics,Cube
Journal
Volume
Issue
ISSN
26
9
0882-1666
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Toshiyuki Gotoh14613.64
Takashi Toriu23212.00