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Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method
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A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis
Published 2014-01-01“…Mathematical morphology (MM) is an efficient nonlinear signal processing tool. …”
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Multi-fractal-interslipface angle curves of a morphologically simulated sand dune
Published 2000-01-01Subjects: “…Sand dune; Mathematical morphology; Fractal dimension; Interslipface angle.…”
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A novel approach to investigate the pore network and clogging of pervious concrete
Published 2025-07-01Subjects: Get full text
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Le dimorphisme sexuel de conformation de l’os coxal humain. Bases biologiques et nouvelles applications possibles
Published 2003-06-01“…A morphometrical analysis based on the concepts of mathematical morphology allows clear attribution of the areas of the pelvic bone which present the greatest dimorphism in shape. …”
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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION
Published 2025-01-01“…The dynamometer card was pretreated by mathematical morphology through the analysis of the motion state of the pumping unit valve and the sucker rod. …”
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Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter
Published 2020-01-01“…To effectively eliminate noise in a fault signal, an adaptive multiscale combined morphological filter is proposed based on the theory of mathematical morphology. Both simulation and experimental results show that the adaptive multiscale combined morphological filter can remove noise more thoroughly and retain details of the fault signal better than the dual-tree complex wavelet filter, traditional morphological filter, adaptive singular value decomposition method (ASVD), and improved switching Kalman filter (ISKF). …”
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Improved Newton Iterative Algorithm for Fractal Art Graphic Design
Published 2020-01-01“…On this basis, the Newton iterative graphics are processed by dithering and MATLAB-based mathematical morphology to obtain graphics and then processed with the help of weaving CAD to directly form fractal art graphics with special texture effects. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS
Published 2016-07-01“…The main aim of our work was to develop an efficient scheme of automatic counting cell nuclei based on advanced image processing methods: directional filtering, adaptive image binarization and mathematical morphology. Unlike prior research, the presented approach does not provide segmentation of cell nuclei in the image, but only requires to detect them and count their number. …”
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Study on Semantic Contrast Evaluation Based on Vector and Raster Data Patch Generalization
Published 2014-01-01“…We used buffer superposition, Delaunay triangulation skeleton line, and other methods to achieve the aggregation and amalgamation of the vector data, adopted the method of combining mathematical morphology and cellular automata to achieve the patch generalization of the raster data, and selected the two evaluation elements (namely, semantic consistency and semantic completeness) from the semantic perspective to conduct the contrast evaluation study on the generalization results from the two levels, respectively, namely, land type and map. …”
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The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
Published 2007-01-01“…In this paper, the effect of Gaussian blurring on the extraction of peaks and pits from digital elevation models (DEMs) is studied. First, a mathematical morphological-based algorithm to extract peaks and pits from DEMs is developed. …”
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Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis
Published 2017-01-01“…Numerous studies on fault diagnosis have been conducted in recent years because the timely and correct detection of machine fault effectively minimizes the damage resulting in the unexpected breakdown of machineries. The mathematical morphological analysis has been performed to denoise raw signal. …”
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Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video
Published 2021-01-01“…When using Gaussian mixture model for modeling, improve the parts with differences, and keep the unmatched Gaussian distribution so that the modeling effect is similar to the actual background; the binary image is obtained through the difference between frames and the threshold, and the motion change domain is extracted through mathematical morphological filtering, and finally, the moving target is detected. …”
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