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Extract Threshold using Histogram | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 5, 2017, Pages 69-79 | ||
| Author | ||
| Amal Abbas Khadim | ||
| Abstract | ||
| In manl l'ision application. it is useiul to be able to separate out the rcgions ofthc imrge corresponrJing to ob-iects in rihich rve are inleresteti' lrom the rcgions ofthe image that conespond lo bauLgrourid I t'lS 20001' One ol-man) $a1s usetl lo scparate the oblcc( litrm the l-'ackground is edg.e detection methotls. Thresholding oftcn proridcs as easv wal' (techniquc) to perform the operation of erjge detection Because ol its wide applicability to other areas of the digita! image processing' quite a numhcr of thresholding methods have been proposed over the years' in this pro1ect a new aigorithm is inrroduced in ailenlpt ttr ubiain the threshold value from the pixels intcnsity (histogram) of the gradient images. Two ecige delectors are used to obtain the gradienl images' one of them is traditional method (Sobel edge detector) and another has some comptexity in ia algorithm (Canny edge detcctor) in order to determine the efTicienc-v-, of the adaptile algorithm. | ||
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