Subpixel Measurements Using a Moment-Based Edge Operator
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
Fast and accurate method for radial moment's computation
Pattern Recognition Letters
Sub-pixel edge detection based on an improved moment
Image and Vision Computing
Fast computation of orthogonal Fourier---Mellin moments in polar coordinates
Journal of Real-Time Image Processing
Fast computation of accurate Gaussian-Hermite moments for image processing applications
Digital Signal Processing
A complete set of pseudo-zernike moment invariants by image shape description
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Accurate subpixel edge location based on partial area effect
Image and Vision Computing
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In order to satisfy the stringent requirements for edge location accuracies in such fields as medical image analysis and satellite remote sensing, an approach based on orthogonal Fourier-Mellin moments is proposed to use the lower radial orders and the rotation invariance of these moments to describe small objects in images, and edge location is accomplished by setting the edge in the vertical direction and analyzing the interrelationships among the orthogonal Fourier-Mellin moments with different orders and degrees, and consequently the specific characteristics of the edge can be fully extracted. Experimental results show that the proposed method can be used to achieve an edge location accuracy of 0.16 pixel for straight lines with noise and 0.23 pixel for curves with noise. It can therefore be concluded that the proposed method is an efficient approach to satisfy the stringent requirements for higher edge location accuracies in such fields as medical image analysis and satellite remote sensing.