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
Citations
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Estimation of proper parameter values for document binarization
E. Badekas,Nikos Papamarkos +1 more
TL;DR: This paper proposes a new technique that allows the estimation of proper parameters values for each one of the document binarization techniques, based on a statistical performance analysis of a set ofbinarization results, which are obtained by applying various binarized techniques with different parameter values.
Journal ArticleDOI
In Situ Image Segmentation Using the Convexity of Illumination Distribution of the Light Sources
TL;DR: An in situ segmentation method which takes advantages of the distribution feature of illumination of light sources, rather than analyzing the image pixels themselves, to find pixels belonging to the background.
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Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
TL;DR: An oil spill detection method with improved adaptive enhancement on X-band marine radar systems using the shape characteristic of co-channel interference, which is comparable to visual interpretation in accuracy.
Proceedings ArticleDOI
A novel method for binarization of badly illuminated document images
TL;DR: A novel document image binarization technique that separates text from background in badly illuminated document images by using morphological closing operation, which offers better result for document images with bad degradation and lighting variance in comparison to former common methods.
A Novel Approach to Image Segmentation
TL;DR: This paper is describing a novel approach to image segmentation by performing some steps over the edges detected of all the objects present in the foreground or background to help in digital image watermarking application for more efficient embedding of watermark.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
An efficient k-means clustering algorithm: analysis and implementation
Tapas Kanungo,David M. Mount,Nathan S. Netanyahu,Christine D. Piatko,Ruth Silverman,Angela Y. Wu +5 more
TL;DR: This work presents a simple and efficient implementation of Lloyd's k-means clustering algorithm, which it calls the filtering algorithm, and establishes the practical efficiency of the algorithm's running time.
Book
Digital Image Processing: Principles and Applications
TL;DR: The fundamental principles of Digital Image Processing are explained, as well as practical suggestions for improving the quality and efficiency of image processing.
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.