NEW BINARY MORPHOLOGICAL OPERATIONS FOR EFFECTIVE LOW-COST BOUNDARY DETECTION
Aishy Amer · International Journal of Pattern Recognition and Artificial Intelligence · 2003
In this paper, new operational definitions of binary morphological, both conditional and nonconditional, operations are proposed. The new operations are applied to detect boundary points from binary images. Comparisons of boundary detection algorithms using proposed, standard morphological, and gradient-based operations, showing the effectiveness of the proposed operations, are given. Comparative hardware implementations of standard and proposed morphological operations are also given. Main distinguishing aspects of the new operations are: speed and low hardware implementation (i.e., e.g., low number of buffers and D-Flip–Flops).