Discover burak0006/K-Means-Color-Segmentation Open Source project

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Created almost 4 years ago
Updated almost 4 years ago

burak0006

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This algorithm performs segmentation based on colors by assuming that objects are colored distinctively. It might not be sensitive about color and bright variations across the objects, but performs really well for the objects with distinct colors

css-html-blog-example

Black Mesa Blog page created using html and css (Just for fun)

HTML

github-slideshow

A robot powered training repository 🤖

HTML

Image_Preprocessing

This repository is a collection of useful image preprocessing tools including text/object-centering, image enhancement, contour extraction

Python

Face_Detection-Eye_Tracking

Live Face Detection and Eye Tracking

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OCR-Tesseract-and-Text-Detection

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object_segmentation

Object segmentation using HSV Color space

Jupyter Notebook

burak0006

Config files for my GitHub profile.

Camera_Motion_Detection

Global motion estimation is basically performed to detect and extract camera motion, as being one of the most important tools in video processing field with many applications, is mainly carried out in pixel or compressed domain. Since those based on the pixels have drawbacks such as high computational complexity, most researches are oriented to the compressed domain in which motion vectors are utilized. On the other hand, there are many unwanted existing outliers in motion vector based global motion estimation because of noise or foreground effects. In this work, proposed motion vector dissimilarity measure is used to remove the outliers to provide fast and accurate motion vector based global motion estimation

burak0006/K-Means-Color-Segmentation

burak0006

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