Dust Identification and Removal for Digital Single Lens Reflex Camera using Morphological Operation
Keywords:
False Positive Rate (FPR), alse Negative Rate (FNR), Misclassification Error (ME),, Morphological, DSLRAbstract
Through various web journals, social medias and applications individuals are sharing pictures more than ever. Deals in costly DSLR cameras have expanded, and organizations in the photograph business are giving clients with exercises to help them in their journey to turn out to be better picture takers. From being simply an article image of the travel industry it has developed into turning into a way of life for some photography fans. This deciphers in a developing number of beginner picture takers spending overflowing measures of time and cash on consummating their abilities and seeking after their enthusiasm. This paper presents the removal the dust identification for DSLR using morphological operation. Firstly used to segmentation scheme to objective identification and objective dust removal using low pass filter than spot shape and shot size are calculated and applied morphological operation. The design is simulated MATLAB software and analysis FNR, FPR and ME.
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