Image Segmentation

U-net Medical Segmentation with TensorFlow and Keras (Polyp segmentation)

Image Segmentation, Unet /
How to segment polyp colonoscopy using U net

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for polyp segmentation using TensorFlow/Keras. The tutorial is divided into four parts: 🔹 Data Preprocessing and Preparation In this part, you load and preprocess the polyp dataset, including resizing images and masks, converting masks to binary format, and splitting the […]

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Image Segmentation in OpenCV with Python and Contours

OpenCV, Image Segmentation /
OpenCV Image Segmentation

Introduction In this tutorial, you will learn a practical pipeline for OpenCV image segmentation in Python.We will convert an image to grayscale, apply a smart binary threshold, detect contours, and then build a mask to extract the main object.This workflow is fast, reproducible, and ideal for object extraction, background removal, and preprocessing for computer vision

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Python Image Segmentation Made Easy with OpenCV and K-means Algorithm

OpenCV, Image Segmentation /
OpenCV Image Segmentation with K-Means in Pytho

Introduction Image segmentation is the process of partitioning an image into meaningful regions (segments) — for example separating foreground from background, isolating objects, or splitting an image into zones of similar color or texture. One classic and relatively simple technique for segmentation is K-means clustering applied in color (or feature) space. In this post, we’ll

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