Linear Extraction of Satellite Imageries using Mathematical Morphology

Ms.Neeti Daryal, Dr. Vinod Kumar
2010 International Journal of Computer Applications  
The methodology used in this paper is based on the use of morphological operators contained in toolbox of Mathematical Morphology developed in the software MATLAB. The application of routines in image processing is aimed initially to improve the visual quality of the features of interest in digital grayscale images, which will then afterwards be extracted. Increasingly seeking to get improvement in quality of the extracted feature, the image was binarized through the binary operator with
more » ... ld. Methodology adapted to skeleton scanned images using Mathematical Morphology from remotely sensed data is a challenging issue in the field of digital image processing. Image skeletonization is one of the many morphological image processing operations. skeletonization is very often an intermediate step towards object recognition, it should have a low computational cost. Literature about above said methodology is also mentioned in this paper. General Terms Dilation, erosion, gray scale, image analysis, mathematical morphology, opening, and thresholding. Keywords Keywords are your own designated keywords which can be used for easy location of the manuscript using any search engines.
doi:10.5120/717-1009 fatcat:5wqad4gt7zgxxnoorm4m3rbsx4