Study on Reconstruction Accuracy using shapiness index of morphological transformations
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (6):
01-12 (декабря 2012)DOI: 10.5121/ijcseit.2012.2601
Аннотация
Basin, lakes, and pore-grain space are important geophysical shapes, which can fit with the several
classical and fractal binary shapes, are processed by employing morphological transformations, and
methods. The decomposition of skeleton network (minimum morphological information) using various
classical structures like square, octagon and rhombus. Then derive the dilated subsets respective degree by
the structures for reconstruct the original image. Through shapiness index of pattern spectrum procedure,
we try test the reconstruction accuracy in a quantitative manner. It gives some general procedure to
characterise the shape-size complexity of surface water body. The reconstruction accuracy is against the
size of water bodies with which we produce the some example of different shapiness index for different
structuring element of shapes. In which quantitative manner approach yields better reconstruction level.
The complexity of water bodies are compared with the surfaces.