A histogram-based global thresholding method for image binarization
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Updated
Apr 22, 2024 - MATLAB
A histogram-based global thresholding method for image binarization
This repository contains the exercises carried out in the Digital Image Processing course. Some topics related to the exercises include RGB manipulation, histogram editing, image compression, image understanding, image encoding and decoding, image classification, noise, and JPEG format.
Matlab 2019b program that performs histogram adjustment tests with different ranges in grayscale and color images, the purpose is to improve them.
Image Processing scripts, filter and functions for colored and grayscale images using Matlab
Flower counting technique is used to get an approximation of the count of number of flowers using MATLAB.Counting of the flowers is done by enhancement techniques following by the segmentation of our region of interest and then counting the resultant segmented elements.
This is a sample of my MatLab code related to scientific computing and probability. For the first update I'm defining a couple functions for visualizing and sampling random numbers from probability distributions. It can also draw histograms with confidence intervals.
Image processing utilities.
Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms (ICCV 2017)
The project aims to create a Supervised Machine Learning algorithm for cat classification problem that detects whether a cat is present in the image or not by generating an RGB/HSV Histogram Model. By processing a large set of images, the specific features are being identified with an accuracy of up to 83%.
Fast and accurate chroma key filter based on histogram.
Digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Image coding and compression.
Histogram equalization is a method in image processing of contrast adjustment using its histogram.
Histogram equalization is a method in image processing of contrast adjustment using its histogram.
An image histogram acts as a graphical representation of the tonal distribution in a digital image.
Point transformation and Histogram Correction of an Image, as well as Hough transform, Harris Corner Detection, rotation and cropping.
CBIR based on image histograms and cdf of image histograms.
This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.
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