A WPF workspace for large images and whole-slide images, with layered annotations, MCP agent integration, and human-in-the-loop review.
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Updated
Oct 23, 2026 - C#
A WPF workspace for large images and whole-slide images, with layered annotations, MCP agent integration, and human-in-the-loop review.
Image pyramid generation for grayscale and segmentation image resize.
Implementation of IEEE paper on Image dehazing using multiple scale fusion.
MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters
This project implements a pyramidal Lucas-Kanade algorithm in Python to estimate motion between video frames, using image pyramids and OpenCV for robust multi-scale tracking, tested on the Dimetrodon dataset.
Assignments in NCTU Computer Vision class (ILE5062)
Panorama stitching using DLT(Direct Linear Transform) for homography estimation, and stitching using Image pyramids.
OME-Zarr (OME-NGFF) in Rust: a bit-exact port of ome-zarr-py — read/write images, labels, plates and scenes, multiscale pyramids, GPU rendering, wasm
Image Pyramid tools for Mathematica
C++ library for the creation of laplacian-pyramids
This repository contains a collection of solved exercises that implement various algorithms from the field of image processing, including the Lucas-Kanade algorithm, neural networks, and other advanced methods.
Exploring texture image processing with the Kylberg Texture Dataset, this project involves preprocessing, learning-free classification, and a multilayer perceptron. Metrics evaluate performance and compare methods. It was part of my uOttawa Master's in Computer Vision (2023).
Lazy, memory-bounded connected-components labeling and per-object measurement for OME-Zarr pyramids
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