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The value of a mask used in a digital image edge detection has a significant difference. Similarly,the mask value on the Kirsch edge detection. There are eight types of masks that can be used. Thevariety of mask values on the Kirsch edge detection will certainly be a problem for users, becausethey have to do trials one by one to find out how the visual representation of a digital image thatthey process using the Kirsch mask. Therefore it is necessary to conduct an in-depth study of theinfluence of the different Kirch mask values. By entering the value of each mask into a convolutionprocess, it can be seen how the effect of each mask is used. The purpose of this research is to helpusers to determine which Kirsch mask values they should use to get the right visual representationof digital images as needed. The main point of the results of this study is the certainty that all linepatterns in the image of the results are directly proportional to the positive edge detection valuescontained in the Kirsch mask value.Keywords - Edge detection, Kirsch mask, visual representation, digital image
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