Research and application of Mathematical Morphology algorithms on OSSC

Practical application of mathematical morphology contributes to simplifying image data, maintaining basic features of shape of an image, and removing irrelevant structure. On the other hand, OSSC (Open-source Software for Scientific Computation) provides essential elements, like matrix operations and image instant display, for establishing professional mathematical morphology toolbox. In this paper, we hold a research on realization and application of mathematical morphology algorithms on Scilab, and meanwhile built the SciMM toolbox. SciMM toolbox functions are coded according to corresponding mathematical morphology formula. Instant result will be displayed after function calling. Two key techniques are adopted in this toolbox: Interface function utilization and image decomposition by RGB matrix. Interface function is used for the purpose of calling the dynamic link library, which integrate the two core functions: dilation and erosion. Image decomposition is for color image processing which will operate on the value in each matrix of RGB. Binary, grayscale and color images are both available to be operated. Tests for algorithms of this toolbox are operated on one specific machine. Results of the tests manifest that the algorithms are correctly run and are high performance.