DIP-Unit 3: Chapter 2 | Thresholding, histograms, noise/illumination effects, global & Otsu methods

📘 Based on academic content , this lecture is ideal for students, GATE aspirants, and AI/Computer Vision learners. --- 📌 What You Will Learn ✅ Thresholding concept (grayscale → binary) ✅ Bi-modal vs Multi-modal histograms ✅ Noise effect on thresholding & solutions ✅ Illumination challenges & adaptive thresholding ✅ Basic Global Thresholding (step-by-step) ✅ Otsu’s Method (optimal threshold selection) --- 🔥 Keywords (SEO) Thresholding Image Processing Otsu Method Explained Global Thresholding Tutorial Histogram Segmentation Computer Vision Basics Digital Image Processing Unit 3 --- 📣 Support 👍 Like | 💬 Comment | 🔔 Subscribe --- 🔖 Hashtags Thresholding #ImageSegmentation #DigitalImageProcessing #OtsuMethod #ComputerVision #AI

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