Watershed Algorithm for Image Segmentation
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This implementation utilizes the watershed algorithm on the MATLAB platform for image segmentation to extract cell contours. The watershed algorithm is a widely-used image segmentation technique that partitions images into distinct regions by computing gradients and grayscale values. In MATLAB implementation, key steps typically involve: 1) preprocessing with morphological operations to enhance contrast, 2) calculating gradient magnitude using Sobel or Prewitt operators, 3) applying marker-controlled watershed transformation to prevent over-segmentation. The algorithm finds extensive applications in cellular analysis and medical image processing, enabling researchers to better understand cellular structures and functions through accurate boundary detection. Critical MATLAB functions include watershed(), imgradient(), and imimposemin() for marker imposition.
- Login to Download
- 1 Credits