Open AccessBook
Digital Image Processing Methods
Edward R. Dougherty
- 12 Jan 1994
151
TL;DR: Nonlinear filters morphological segmentation for textures and particles multispectral image segmentation in magnetic resonance imaging thinning and skeletonizing syntactic image pattern recognition heuristic parallel approach for 3D articulated line-drawing object pattern representation and recognition.
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Abstract: Nonlinear filters morphological segmentation for textures and particles multispectral image segmentation in magnetic resonance imaging thinning and skeletonizing syntactic image pattern recognition heuristic parallel approach for 3D articulated line-drawing object pattern representation and recognition handwritten character recognition digital image compression image-processing architectures digital halftoning.
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Citations
Domain transform for edge-aware image and video processing
Eduardo Simoes Lopes Gastal,Manuel M. Oliveira +1 more
- 25 Jul 2011
TL;DR: The use of 1D operations leads to considerable speedups over existing techniques and potential memory savings; its computational cost is not affected by the choice of the filter parameters; and it is the first edge-preserving filter to work on color images at arbitrary scales in real time, without resorting to subsampling or quantization.
871
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
Fuyong Xing,Lin Yang +1 more
TL;DR: A comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential interference contrast, fluorescence, and electron microscopies is provided.
537
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
TL;DR: A method that enables automated morphology analysis of partially overlapping nanoparticles in electron micrographs and shows the superiority of the proposed method in terms of particle recognition rate is compared with seven state-of-the-art methods.
193
Digital image-based modeling applied to the homogenization analysis of composite materials
TL;DR: In this article, a finite element analysis (FEA) with the homogenization method enables the prediction of the thermo-mechanical behavior of the periodic microstructure (unit cell) as well as the global mechanical response of a structural component, while taking into account the specific effect of the geometric structural configuration of the micro-structure through digitization.
Automatic Recognition of Fabric Weave Patterns by a Fuzzy C-Means Clustering Method:
TL;DR: Experimental results demonstrate that three basic weave patterns can be clearly identified.