Image Segmentation Using Morphological Watershed Applied to Cartography
Image segmentation is a process frequently used in several different areas including Cartography. Feature extraction is a very troublesome task, and successful results require more complex techniques and good quality data. The aims of this paper is to study Digital Image Processing techniques, with emphasis in Mathematical Morphology, to use Remote Sensing imagery, making image segmentation, using morphological operators, mainly the multi-scale morphological gradient operator. In the segmentation process, pre-processing operators of Mathematical Morphology were used, and the multi-scales gradient was implemented to create one of the images used as marker image. Orbital image of the Landsat satellite, sensor TM was used. The MATLAB software was used in the implementation of the routines. With the accomplishment of tests, the performance of the implemented operators was verified and carried through the analysis of the results. The extration of linear feature, using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating. The comparison to the best result obtained was performed by means of the morphology with conventional techniques of features extraction.
KeywordsImage Segmentation Mathematical Morphology Marker Image Morphological Operator Watershed Segmentation
- 1.Meyer, F., Beucher, S.: The morphological approach to segmentation: the watershed transformation. In: Dougherty, E.R. (ed.) Mathematical Morphology in Image Processing, pp. 433–481. Marcel Dekker, New York (1993)Google Scholar
- 3.Gomes, J., Velho, L.: Computação Gráfica: Imagem. Série de Computação e Matemática, SBM/IMPA (1995) Google Scholar
- 4.Préteux, F.: On a distance function approach for grey-level mathematical morphology. In: Dougherty, E.R. (ed.) Mathematical Morphology in Image Processing, pp. 323–351. Marcel Dekker, New York (1993)Google Scholar