Oppurtunities and Challenges of using Image p

Image processing in medical science offers opportunities like enhanced diagnostic accuracy, automated analysis, and improved visualization of complex structures. However, challenges include handling large data volumes, ensuring high precision, dealing with varying image quality, and addressing privacy concerns. Balancing innovation with ethical considerations is crucial for effective implementation.

Explain about Region growing and Splitting of

Region growing expands regions by adding similar pixels, while region splitting divides an image into smaller regions until each is uniform, aiding precise image segmentation.

Explore and analyze the applications of morph

Morphological image processing in medical imaging enhances features like boundaries, shapes, and structures. Techniques like dilation, erosion, opening, and closing refine MRI and CT scans, improve tumor detection, and assist in segmentation. These operations help isolate and analyze specific anatomical regions, leading to better diagnosis and treatment planning.