Digital image processing using MATLAB

By R. González, R. Woods, S. L. Eddins. 2006

7,220 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aff87bbf331637722b4210f0133ff190164530d2

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Citations in the corpus

• Optic disc and cup segmentation methods for glaucoma detection with modification of U-Net convolutional neural network (2017, methodology): “For pre-processing, entropy filtering [12] in L*a*b* color space is performed for extracting the most important points of an image, followed by contrast normalization and stardardization of patches.”
• Image matting for fusion of multi-focus images in dynamic scenes (2013, background): “Then, based on the assumption that motion regions always appear in the boundary of objects caused by camera movement or in the form of scattered pieces caused by object motion, through performing several iterations of skeletonization [27] and one time of median filtering (see Eq.”
• Sensors and systems for fruit detection and localization: A review (2015, methodology): “Index calculation was done based on images at three different wavelengths, and then Otsu’s threshold (Gonzalez et al., 2010) and morphological operations were carried out for fruit segmentation.”
• Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data (2018, unknown): “Gonzalez et al. 2011 (The MathWorks Inc., Natick, USA), and especially the LS-SVM v1.”
• Objective comparison of particle tracking methods (2014, methodology): “METHOD 4: PARAMETERS The user parameters of this method (and typical values) are:  Number of iterations of convolution with the Gaussian kernel (10-500).”
• SAR Automatic Target Recognition Based on Multiview Deep Learning Framework (2018, unknown): “Besides, the gray enhancement based on the power function [33] is executed to enhance the information of the original SAR images where β is the enhancement factor.”
• Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry (2007, methodology): “We also incorporated algorithms described in Gonzalez et al. (2004) and implemented in the accompanying toolbox Digital Image Processing for MATLAB (DIPUM) (version 1.1.3; imageprocessing-place.com).”