Image Segmentation Algorithms With Implementation in Python | Python semantic segmentation
Thisarticlewaspublishedasapartofthe DataScienceBlogathon[1]WhatisImageSegmentation?IItisdonebasedontheimagepropertieslikesimilarity,discontinuity,etc.Thegoalofimagesegmentationistosimplifytheimageforbetteranalysis.Itistheprocessofassigninglabelstoeverypixelinanimage.ImagesegmentationhaswideapplicationsinMachineLearning,ComputerVision,AI,Medicalimaging,Recognitiontasks,Videosurveillance,Objectdetection,etc.Itimpactsseveraldomains,fromhealthcaretospacescience.Inthisarticle,wewillbediscussingdi...
This article was published as a part of the Data Science Blogathon[1]
What is Image Segmentation?IIt is done based on the image properties like similarity, discontinuity, etc. The goal of image segmentation is to simplify the image for better analysis. It is the process of assigning labels to every pixel in an image. Image segmentation has wide applications in Machine Learning, Computer Vision, AI, Medical imaging, Recognition tasks, Video surveillance, Object detection, etc. It impacts several domains, from healthcare to space science.
In this article, we will be discussing different image segmentation algorithms like- Otsu’s segmentation, Edge-based segmentation algorithms, Region-based segmentation algorithms, Clustering-based segmentation algorithms, Neural networks for segmentation, and Watershed segmentation algorithms.
List of Methods to do image segmentation using Python CodeBelow are methods for image segmentation with implementation code in python.