Journal ArticleDOI
A fast subpixel edge detection method using Sobel–Zernike moments operator
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TLDR
A new edge detection approach combining Zernike moments operator with Sobel operator is proposed, which demonstrates the advantage of high precision in subpixel as Zernikes moments operator and short run time 79% more efficient than Zernke moments operator.About:
This article is published in Image and Vision Computing.The article was published on 2005-01-01. It has received 238 citations till now. The article focuses on the topics: Sobel operator & Zernike polynomials.read more
Citations
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Journal ArticleDOI
Accurate subpixel edge location based on partial area effect
TL;DR: A new edge detector based on an edge and acquisition model derived from the partial area effect, which does not assume continuity in the image values is presented, achieving a highly accurate extraction of the position, orientation, curvature and contrast of the edges.
Journal ArticleDOI
A non‐contact vision‐based system for multipoint displacement monitoring in a cable‐stayed footbridge
TL;DR: The analysis results indicate that the system provides valuable information about bridge deformation of the order of a few cm induced, in this application, by pedestrian passing, and could be used to investigate variations of modal frequencies under varying pedestrian loads.
Journal ArticleDOI
An improved ant colony algorithm for fuzzy clustering in image segmentation
Yanfang Han,Pengfei Shi +1 more
TL;DR: Improvements have been made by initializing the clustering centers and enhancing the heuristic function to accelerate the searching process and show that the improved ACA-based image segmentation is an efficient and effective approach.
Journal ArticleDOI
Image analysis by Bessel-Fourier moments
Bin Xiao,Jianfeng Ma,Xuan Wang +2 more
TL;DR: A new set of moments based on the Bessel function of the first kind, named Bessel-Fourier moments (BFMs), which are more suitable than orthogonal Fourier-Mellin and Zernike moments for image analysis and rotation invariant pattern recognition.
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Adaptive watermark mechanism for rightful ownership protection
Chin-Chen Chang,Pei-Yu Lin +1 more
TL;DR: This novel approach allows image owners to adjust the strength of watermarks through a threshold, so that the robustness of the watermark can be enhanced and preserves the data lossless requirement, so it is suitable for medical and artistic images.
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.
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Theory of Edge Detection
David Marr,Ellen C. Hildreth +1 more
TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
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Beugungstheorie des schneidenver-fahrens und seiner verbesserten form, der phasenkontrastmethode
TL;DR: In this paper, ausammenfassung auf Grundlage der A b b eschen Beugungstheorie der optischen Abbildung wird das Aussehen eines Hohlspiegels mit willkurlich verlaufenden kleinen Abweichungen beim Foucaul tschen Schneidenverfahren and beim neuen Phasenkontrastverfhren berechnet.
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Computer vision and pattern recognition
TL;DR: This Special Issue of International Journal of Computer Mathematics (IJCM) offers a venue to present innovative approaches in computer vision and pattern recognition, which have been changing the authors' everyday life dramatically over the last few years, and aims to provide readers with cutting-edge and topical information for their related research.
Image analysis by moments
Miroslaw Pawlak,Simon Liao +1 more
TL;DR: The detailed error analysis involved in the moment method is discussed and several new techniques to increase the accuracy and efficiency of moment descriptor are proposed for image reconstruction from the orthogonal Legendre moments computed from discrete and noisy data.