Proceedings ArticleDOI
A new method for image segmentation
Wang Guitang,Zhu Jianlin,Wei Qingchun,Xin Huasheng,Cao Peiliang +4 more
- Vol. 2, pp 123-125
TLDR
A new segmentation method which is based on the morphology method, fuzzy K-means algorithm and some parts operator of the Canny algorithm, and the course of Canny operator that calculating the value and direction of grads, non-maxima suppression to the grad value and lag threshold process into the post-treatment process is introduced.Abstract:
On the basis of analyzing the blur images with noise, this paper presents a new segmentation method which is based on the morphology method, fuzzy K-means algorithm and some parts operator of the Canny algorithm. Because of the Canny's good performance on good detection, good localization and only one response to a single edge, we introduce the course of Canny operator that calculating the value and direction of grads, non-maxima suppression to the grad value and lag threshold process into our post-treatment process. Through experiments, it is demonstrated that the image segmentation method in this paper is very effective.read more
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Robust Color Image Enhancement of Digitized Books
TL;DR: A spatially variant framework for correcting uneven illumination and color cast, problems commonly associated with digitized books, is presented and a threshold estimation method using the histogram of the gradient magnitude is proposed.
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A Survey of Image Segmentation based on Artificial Intelligence and Evolutionary Approach
TL;DR: The Survey of Image Segmentation using Artificial Intelligence and Evolutionary Approach methods that have been proposed in the literature is presented.
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A statistical approach of multiple resolution levels for canny edge detection
TL;DR: This paper introduces a method that computes the threshold values from the foreground and background image pixels and shows that the proposed method outperforms Canny that uses two fixed threshold values.
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A hybrid automatic thresholding approach using panchromatic imagery for rapid mapping of landslides
TL;DR: A hybrid approach for the rapid mapping of landslides, based on automatic thresholding using panchromatic (PAN) images as data sources, which shows that almost all of the landslides are properly detected including the low-contrast ones, which cannot be identified neither by the original Otsu method nor the change detection algorithm within ERDAS software.
References
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Proceedings ArticleDOI
Wreath products for edge detection
V. Chickanosky,G. Mirchandani +1 more
TL;DR: A novel method for measuring the orientation of an edge is introduced and it is shown that it is without error in the noise-free case, and the wreath product transform edge detection performance is shown to be superior to many standard edge detectors.