Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Abstract: Combination of gray water and land SAR image and wavelet texture information, present a new segmentation method of SAR image surface. Firstly, extracting gray level co-occurrence matrix of ...
In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...
Introduction: Breast cancer is a severe illness predominantly affecting women, and in most cases, it leads to loss of life if left undetected. Early detection can significantly reduce the mortality ...
Abstract: This paper introduces a novel approach to the problem of active contour-based segmentation through the use of complex- valued wavelets. In traditional active contour-based segmentation ...
This project enhances low-resolution images by combining interpolation with wavelet-based reconstruction. Interpolation upsamples the image, and wavelet processing restores edges and fine details, ...
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