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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Journal ArticleDOI
Optimal combination of document binarization techniques using a self-organizing map neural network
E. Badekas,Nikos Papamarkos +1 more
TL;DR: An integrated system for the binarization of normal and degraded printed documents for the purpose of visualization and recognition of text characters by combining their results using a Kohonen self-organizing map neural network.
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Comparison of automatic thresholding methods for snow-cover mapping using Landsat TM imagery
TL;DR: Comparisons of the automatic thresholding methods, optimal threshold, and support vector machine (SVM) classification show that Otsu's and Nie's methods appear to be the most robust among the nine automatic thresholded methods, achieving comparable accuracies with the latter two approaches.
Journal ArticleDOI
Phase segmentation of X-ray computer tomography rock images usingmachine learning techniques: an accuracy and performancestudy
Swarup Chauhan,Wolfram Rühaak,H. Anbergen,Alen Kabdenov,Marcus Freise,Thorsten Wille,Ingo Sass +6 more
TL;DR: In this paper, the performance and accuracy of machine learning techniques to segment rock grains, matrix and pore voxels from a 3D volume of X-ray tomographic (XCT) grayscale rock images was evaluated.
Journal ArticleDOI
Split-and-merge Procedure for Image Segmentation using Bimodality Detection Approach
Debasis Chaudhuri,A. Agrawal +1 more
TL;DR: An automatic thresholding technique based on bimodality detection approach with non-homogeneity criterion is employed in the splitting phase of the split-and-merge segmentation scheme to directly reflect the image semantics to the image segmentation results.
Book ChapterDOI
Music score binarization based on domain knowledge
TL;DR: A novel binarization method based in the content knowledge of the image that only needs the estimation of the staffline thickness and the vertical distance between two stafflines to be implemented.
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.