Image Type Conversion in MATLAB | Conversions of images from one format to other using MATLAB

Описание: Conversions of images from one format to other using MATLAB is an easy task but how to do it? Did you know images can be of different types like RGB, grayscale, indexed, and even binary? In this video, we’re not just converting images—we’re helping you understand each format visually and practically using MATLAB.
We begin with an RGB image and walk through a series of image type conversions in MATLAB, including:
🔹 RGB to Grayscale – Learn how to reduce color images to single-channel grayscale using rgb2gray and understand how it saves memory and is perfect for ML and edge detection tasks.
🔹 Grayscale to RGB – Convert grayscale back to RGB using cat(3,...), especially when functions require 3-channel inputs for overlays or training models.
🔹 RGB to Indexed – Use rgb2ind to convert full-color images into indexed format to save memory, commonly used in web icons and GIFs.
🔹 Indexed to RGB – Reconstruct the full-color image using ind2rgb and compare the visual output.
🔹 Indexed to Grayscale – Simplify indexed color images for analysis using ind2gray.
🔹 Grayscale to Indexed – Convert grayscale images into indexed format with gray2ind and see how it reduces file size while preserving visual details.
🔹 Image Format Conversion (PNG to JPG, BMP, TIFF) – Use imwrite() to save images in various file formats and compare their file sizes and use cases.
At every step, we use functions like imshow, subplot, whos, and size() to help you see what changes—not just in how the image looks, but in how MATLAB stores and processes the data.
🎯 Whether you're a beginner learning MATLAB, a student of Digital Image Processing, or working on computer vision or AI projects, this tutorial is packed with hands-on examples you can directly apply.
We also discuss common mistakes like:
⚠️ Forgetting the colormap in indexed images
⚠️ Saving indexed images in unsupported formats like JPG
⚠️ Not verifying image size or type after conversion
👉 By the end, you’ll know how to convert:
– Color image to grayscale in MATLAB
– Grayscale image to RGB
– RGB image to indexed format
– And how to choose the right image type for your project

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