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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.
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.
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%.