Pixel Difference Unmixing Feature Networks for Edge Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3279276
Abstract: The edge detection model based on deep learning significantly improves performance, but its generally high model complexity requires a large pretrained Convolutional Neural Networks (CNNs) backbone, and hence large memory and computing power. To solve… read more here.
Keywords: difference unmixing; feature; detection; model ... See more keywords
Pixel Difference Function and Local Entropy-Based Speckle Reducing Anisotropic Diffusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3182886
Abstract: Speckles destroy the texture details of synthetic aperture radar (SAR) images, thereby constraining their high-precision application. Speckle suppression and edge preservation are two aspects that need to be balanced in despeckling. Although a conventional anisotropic… read more here.
Keywords: function; diffusion; local entropy; anisotropic diffusion ... See more keywords
Fast autofocusing based on pixel difference with the Tanimoto coefficient between images.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.463482
Abstract: Focusing objects accurately over short time scales is an essential and nontrivial task for a variety of microscopy applications. In this Letter, an autofocusing algorithm using pixel difference with the Tanimoto coefficient (PDTC) is described… read more here.
Keywords: tanimoto coefficient; difference tanimoto; pixel difference;