PROJECT TITLE :

Image Enhancement Using Morphological Contrast Enhancement For Video Based Image Analysis - 2017

ABSTRACT:

Image enhancement using morphological operations for video based image is proposed in this paper. Morphological operations used are high-hat and bottom-hat transformation. Top-hat transformation is used to extract the bright areas, and bottom-hat transformation is employed to extract dark areas. Distinction enhancement processed by adding bright areas to original image and subtracting by dark areas. Morphological distinction enhancement applied to the preprocessing to come up with output image for segmentation process. During this study, it conducted a comparison of the preprocessing primarily based on the standard of clusters created through the segmentation process. Silhouette coefficient is employed to measure the validity of cluster generated in the segmentation process. The silhouette width value of the segmentation results are closed to one that expressed as a sensible cluster. Silhouette worth of morphological contrast enhancement is beyond histogram equalization methodology. Silhouette width price of each preprocessing was 0.7729 and 0.5794, for morphological and CHE, respectively.