This paper presents a new method for edge detection called NEATS. NEATS is an innovative edge detection method for digital image processing. edge detection is used to identify an image by analyzing the image boundaries to determine the edge of the image. this new method uses a combination matrix from elisabeth method, thomas method, silny method and adhi method. we analyze the edvantages and disadvantages of these methods to generate new matrix that can perform edge detection better. we applied this new method into various types of indonesian batik motives. when this new method implemented, it delivered different result for each batik motives. the exprimental results indicate that the composition of the matrix which used for edge detection is influenced by the image pattern that will be tested. an image that tested by using the appropriate matrix will generate the optimal edge detection result.