Free Image Segmentation Course
Image Segmentation Techniques
Join our free Image Segmentation course to learn edge detection, Sobel/Prewitt/Roberts operators, thresholding, segmentation algorithms, region growing, and image preprocessing for computer vision applications.
Instructor:
Dr. Vibhav SinghLevel
Learning hours
Skills you will learn
About this Course
Our free Image Segmentation course covers essential techniques for analyzing and processing images. You’ll learn about gradient edge detection, including Sobel, Prewitt, and Roberts operators, and how to apply thresholding and segmentation algorithms. The course also explores region growing, splitting, and merging methods, along with image preprocessing techniques. By the end, you'll have a solid understanding of how to apply these skills to real-world computer vision projects, making you ready for the next step in image analysis.
Course Outline
In this module, you’ll explore the fundamentals of image segmentation, its purpose in computer vision, and how it helps in dividing an image into meaningful regions.
In this module, you’ll learn how gradient-based operators like Sobel, Prewitt, and Roberts are used to detect edges by measuring changes in pixel intensity.
In this module, you’ll examine core edge detection techniques for identifying object boundaries within images.
In this module, you’ll understand how thresholding separates objects from the background using pixel intensity values.
In this module, you’ll discover various segmentation approaches, including clustering, edge-based, and region-based techniques.
Our course instructor
Dr. Vibhav Singh
Assistant Professor
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