Versatile Fiji-imagej macro for 2D quantification of each marker inside your immunofluorescence staining in less of 1 minute per image. Control critical steps for segmentation.
Image Segmentation and Quantization by Neural Gas Network (NGN)
Several problems covering fundamental concepts of Image Processing with MATLAB
Coding solutions to multiple computer vision problems like image color quantization, object detection, and image segmentation.
Reduce color information from 24-bit to 8-bit, using K-Means++ clustering algorithm
🎨 Fast hierarchical agglomerative clustering powered by WebAssembly
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
Implementations of Machine Learning algorithms in Python
The idea of Image Quantization is to reduce the number of colors in a full resolution digital color image (24 bits per pixel) to a smaller set of representative colors called color palette using graph.
3_Machine_Learning_tasks
Parallel KMeans-based image quantization compressor that reduces the number of colors in an image while preserving visual quality. It uses KMeans clustering for color quantization and supports sequential, OpenMP, MPI, and CUDA implementations for performance and scalability. PoliMi - Advanced Methods for Scientific Computing (2023-2024)
Cultural-Algorithm-Image-Quantization
Image converter for Amstrad CPC - Web and desktop application with palette quantization, dithering, and multi-format exports.
TypeScript implementation of Android 12 Material You dynamic theme engine (named Monet).
KS Image Suite combines various graphical modules into a single project. Including finding similar images, agressive image compression and modules related to scanning images.
3 distinct machine learning task
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
PyTorch implementation of 'SDEdit' (Meng et al., 2021) from scratch and applying it to 'DDPM' on CelebA at 64 × 64
This demonstrates the concepts of image quantization and dithering.
Reduce Colors in any Image using KMeans Clustering
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