Regular paper2D feature detection via local energy
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2023, Biomedical Signal Processing and ControlA study on using image serving technology for high precision mechanical positioning
2016, Mechanical Systems and Signal ProcessingCitation Excerpt :The features for image matching include color [18], texture [19–21], spatial relation [22], and shape [23]. In the past, studies have employed the gray-scale energy method [24], fast corner search method [25], and Fast Hough Transform [9]. Previously used matching cost computation [26] methods include: normalized cross-correlation (NCC), sum of squared differences (SSD), sum of absolute differences (SAD), and rank and census.
A new generalised α scale spaces quadrature filters
2014, Pattern RecognitionCitation Excerpt :Also, it has been shown that this model successfully explains a number of psychophysical effects on human feature perception. This observation has led to the development of a number of phase-based feature detection algorithms [14,17,19,36–43]. Numerous additional advantages of the use of phase-based measurements have been reported.
Edge and line oriented contour detection: State of the art
2011, Image and Vision ComputingCitation Excerpt :In [111], the concept of constrained phase congruency is introduced, showing its ability to detect edges and other salient features such as Mach bands. In [112,113], local energy models are used for detecting a larger set of edge features, including junctions and line terminations. As discussed in [114], the ability of local energy models of detecting roof, line and Mach band edges makes this operator idempotent.
Comparative Analysis of Convolutional Neural Networks for Classification of Breast Abnormalities
2023, Journal of Communications Technology and Electronics
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