Computer Vision homework 1. The project uses OpenCV and PyQt5 to build an application that applies Histogram Matching.
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Updated
Oct 19, 2018 - Python
Computer Vision homework 1. The project uses OpenCV and PyQt5 to build an application that applies Histogram Matching.
transfer the makeup style of a reference face image to a non-makeup face
CS663 - Digital Image Processing Programming Assignments
Exact histogram matching implementation of Dinu Coltuc et al.
My Solutions to Programming Assignments of Artificial Intelligence, Machine Learning and Digital Image Processing
cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")
Implementation of some functions like resize, rotate, histogram equalisation, adaptive histogram equalisation, histogram matching, bit plane slicing and tie point reconstruction from the image processing toolbox in Matlab.
All codes written by me in my Digital Image Processing & Analysis course.
Fast implementation of "Exact Histogram Specification" by Coltuc et al.
This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.
🖼 Algorithm: Histogram equalization + Histogram matching. Algoritmo que faz a equalização e especificação de uma imagem mostrando seus gráficos e imagens resultantes.
Histogram matching using open CV
Histogram matching (specification) without in-built functions python
Implementation of algorithms which were done as a part of Digital Image Processing course
Implementation of various image processing methods from scratch in python.
Computation of image histogram, histogram equalization, comparison, and matching.
This project is about Histogram Equalization and Contrast Stretching
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