Shape recognition using morphological transformations

A morphological hit-or-miss algorithm is presented which can distinguish a distorted shape from among others and locate it. Shape recognition is presented in noisy environments as a problem of recognizing imperfect shapes. The method employs only one hit-or-miss operation. The resultant shape location is presented by a small cluster of points within a known set. The role of window W in the hit-or-miss transformation is discussed, and it is shown that the boundary of the complement of the shape, ∂A^c, can be used as a structuring element on the complement of the image, I^c, with the result of the hit-or-miss transformation being the same as that when a window is used in the transformation. Without a window restriction, the hit-or-miss transformation is more practical in shape recognition