Open Access
Threshold Selection Techniques, 5.
Joan S. Weszka,Azriel Rosenfeld +1 more
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TLDR
In this article, a histogram of picture gray levels is used for sharp localizing the valley between two peaks on histograms of image gray levels, which is based on histogramming the gray levels of points at which the value of some digital gradient operator lies in a high percentile range.Abstract:
: Some further methods of sharply localizing the valley between two peaks on a histogram of picture gray levels are investigated. These methods are based on histogramming the gray levels of just those picture points at which the value of some digital gradient operator lies in a high percentile range. The thresholds obtained are not the same as those found with an earlier, Laplacian-based method, but they appear to be equally satisfactory. Outlining of the objects can be accomplished by outputting a narrow range of near-threshold gray levels as black, and all gray levels outside this range as white.read more
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Journal ArticleDOI
A survey on image segmentation
King-Sun Fu,J. K. Mui +1 more
TL;DR: This survey summarizes some of the proposed segmentation techniques in the area of biomedical image segmentation, which fall into the categories of characteristic feature thresholding or clustering and edge detection.
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A Region-Based Approach to Digital Image Registration with Subpixel Accuracy
TL;DR: To register two images from the same scene, first, the images are segmented and closedboundary regions in the image are extracted, which enables determination of centers of gravity of the regions up to subpixel accuracy.
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Processing translational motion sequences
TL;DR: This procedure, which requires no restrictions on the direction of motion, nor the location and shape of environmental objects, has been applied successfully to real-world image sequences from several different task domains.
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Evaluation of automated threshold selection methods for accurately sizing microscopic fluorescent cells by image analysis.
TL;DR: The results indicated that thresholds determined visually and by first-derivative methods tended to overestimate the threshold, causing an underestimation of microsphere size.
Journal ArticleDOI
Automatic multithreshold selection
Shyuan Wang,Robert M. Haralick +1 more
TL;DR: A recursive technique for multiple threshold selection on digital images is described, which may be recursively applied first using only those pixels whose intensities are smaller than the threshold and then only those pixel whose intensity values are larger than thereshold.