Image filtering and template matching in this basic image processing repository.
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Updated
Apr 17, 2020 - Python
Image filtering and template matching in this basic image processing repository.
This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detection. Detected circles are highlighted in red on the image.
A multi-image gallery with image filtering.
Experiments related to image processing, computer vision and c++.
High Speed Pipelined FPGA Architecture for Linear and Adaptive Median Image Filtering
Python function for analyzing calcium imaging and cell tracking data from a project "Biomechanics and function of proprioceptors". Contains google colab notebooks and Jupyter notebooks.
Basic image processing applicationg written in SwiftUI
Interface-based image filter implementations in .NET 6.0, platform-agnostic. Current implementation available for Windows, with GNU/Linux coming soon.
A website that applies selected filters to an image. These filters include: grayscale, sepia, and invert.
An Android Library for applying easy, fast and effective 63 (will be added more) LUT filters to photos.
Image filtering and 2x2 pooling with Python
Codes from the couse of Image Processing (IP) of University of São Paulo (USP).
PHP IMPROCS (Image Processing) Library
Official implementation of SPANet in ICCV2023
Adaptive Cesáro Mean Filter for Salt-and-Pepper Noise Removal
Multi-Phase Information Theory-Based Algorithm for Edge Detection
Enhance your images effortlessly with Image Filters.
High Performance Computing
Detects and replaces human skin color in website images (works as a nudity filter).
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