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
More filters
Proceedings ArticleDOI
Analysis of Various Image Segmentation Techniques on Retinal OCT Images
TL;DR: In this article , a number of image segmentation techniques, including threshold, edge-based, and clustering-based segmentation methods, are compared for OCT images, and the segmentation method that is most effective for separating images in OCT images is clustering based segmentation.
Proceedings ArticleDOI
Denoising of Binarized Byzantine Textual Images
N. Ntogas,D.E. Ventzas,M. Ventza +2 more
TL;DR: The proposed procedure consists of sequential image refinement and enhancement processing, on quality class categorized images, on Byzantine manuscripts for text - background discrimination.
Journal ArticleDOI
A combined computer vision and image processing method for surface coverage measurement of shot peen forming
TL;DR: In this paper , a combined computer vision and image processing method is applied to realize the automatic measurement of shot peening surface coverage, and the critical issues involved, such as shot-peening image pre-processing, indentation light spots recognition, shot peened area segmentation, etc., are systematically investigated.
DissertationDOI
An attention model and its application in man-made scene interpretation
TL;DR: Different components of a computer vision system that are designed for the task of interpreting man-made scenes, in particular images of buildings, are described and a blob detector is developed, that identifies components in a 2D image.
References
More filters
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.