Morphological Background Detection for Enhancement of Images - Ashwitha, K.;Srikanth, R.
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The objective is morphological transformations are used to detect the background in images characterized by poor lighting. Enhancement of images and background detection using Mathematical Morphological theory on dark images. Due to poor lightening the background of the image is not clear. This image can be enhanced by lightening the back ground with various morphological operations. Basically, Weber's Law Operator is used to analyze dark images which are carried out by two methods such as Image background detection by block analysis while second operator utilize opening by reconstruction to define multi background notion…mehr

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Produktbeschreibung
The objective is morphological transformations are used to detect the background in images characterized by poor lighting. Enhancement of images and background detection using Mathematical Morphological theory on dark images. Due to poor lightening the background of the image is not clear. This image can be enhanced by lightening the back ground with various morphological operations. Basically, Weber's Law Operator is used to analyze dark images which are carried out by two methods such as Image background detection by block analysis while second operator utilize opening by reconstruction to define multi background notion
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Autorenporträt
1) K Aswitha Completed B.Tech in ECE from JNTUH, Hyd and M.Tech from Kakatiya university, presently working as Lecturer in Govt Polytechnic, Wgl. 2) R Srikanth Completed B.Tech (ECE) and M.Tech from JNTUH, Hyd, India. Pursuing Ph.D in Image Processing in Kakatiya University, working as Asst.prof in KITS