ABSTRACT
The size, shape, and location of the ice floes give important clues to their physical geometry and mechanics. Edges characterize object boundaries that represent the change from one object to another. This is useful for segmentation, registration, and identification of objects in a scene. The threshold value determines the sensitivity of the edge detector. For noise-free images, the threshold can be chosen such that all amplitude discontinuities of a minimum contrast level are detected as edges. The Laplacian edge detector is an isotropic operator, and it is sensitive to the changes in the gradient of the image. The response of the Laplacian can range from positive to negative. In image processing, mathematical morphology involves geometric analysis of shapes and textures in images based on some simple mathematical concepts from set theory. It is used to extract image components that are useful in representation and description of region shapes, such as boundaries, skeletons and convex hull.
