Hakan Çelik
· Hakan Çelik · OpenCV / Machine Learning · 2 dk
K-Means Clustering in OpenCV
Learn to use cv.kmeans() function in OpenCV for data clustering. We cover single feature, multi-feature data and color quantization of images using K-Means.
OpenCV / Machine Learning
Machine Learning
6 posts
All Image Processing 14 Advanced Topics 11 Feature Detection 10 Machine Learning 6 Basic Operations 6 Setup 4 Camera Calibration 4 Computational Photography 3 Video Analysis 3 Python Bindings 1 Object Detection 1
· Hakan Çelik · OpenCV / Machine Learning · 2 dkUnderstanding K-Means Clustering
Learn the concepts of K-Means Clustering algorithm. We go through the step-by-step algorithm using a T-shirt size problem to explain how iterative centroid updates work.
· Hakan Çelik · OpenCV / Machine Learning · 2 dkOCR of Hand-written Data using SVM
Learn to use SVM with HOG (Histogram of Oriented Gradients) features for OCR of handwritten digits. This approach achieves ~94% accuracy, better than kNN with raw pixels.
· Hakan Çelik · OpenCV / Machine Learning · 2 dkUnderstanding SVM
Learn an intuitive understanding of Support Vector Machines (SVM). We cover decision boundaries, support vectors, margin maximization, and kernel trick for non-linearly separable data.
· Hakan Çelik · OpenCV / Machine Learning · 2 dkOCR of Hand-written Data using kNN
Learn to build a basic OCR application using kNN knowledge. We use OpenCV's digits.png dataset to recognize handwritten digits achieving ~91% accuracy.
- · Hakan Çelik · OpenCV / Machine Learning · 2 dk
Understanding k-Nearest Neighbour
Learn the concepts of the k-Nearest Neighbour (kNN) algorithm. We cover classification, feature space, weighted kNN, and implement a simple example with OpenCV.