Several problems covering fundamental concepts of Image Processing with MATLAB
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
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.
Reduce color information from 24-bit to 8-bit, using K-Means++ clustering algorithm
3_Machine_Learning_tasks
An image quantization application.
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 distinct machine learning task
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
A collection of parallelizable image filters, written in pure Luau.
Coding solutions to multiple computer vision problems like image color quantization, object detection, and image segmentation.
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)
Image quantization is a lossy compression technique achieved by compressing a range of values to a single quantum value.
This demonstrates the concepts of image quantization and dithering.
Reduce Colors in any Image using KMeans Clustering
🎨 Fast hierarchical agglomerative clustering powered by WebAssembly
KS Image Suite combines various graphical modules into a single project. Including finding similar images, agressive image compression and modules related to scanning images.
Cultural-Algorithm-Image-Quantization
Image Segmentation and Quantization by Neural Gas Network (NGN)
Firefly Algorithm Image Color Quantization Using Clustering
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