Shape recognition method using morphological hit-or-miss transform

Morphological hit-or-miss transformation for shape recognition

A hit-or-miss transform for multivariate images

The hit-or-miss transform (HMT) is considered to be among the fundamental operations in the morphological toolbox. Initially, it was defined for binary images, as a morphological approach to the problem of template matching, whereas its extension to grey-level data has been problematic, leading to multiple definitions, that have been only recently unified by means of a common theoretical founda...

Pattern matching using the blur hit - miss transform

The usefulness of the hit-miss transform (HMT) and related transforms for pattern matching in document image applications is examined. Although the HMT is sensitive to the types of noise found in scanned images, including both boundary and random noise, a simple extension, the Blur HMT, is relatively robust. The noise immunity of the Blur HMT derives from its ability to treat both types of nois...

Binary shape recognition using the morphological skeleton transform

-Binary image representation by its morphological skeleton transform has been proposed in the past as an information preserving representation. In this paper this skeleton representation is adopted as the start point for the development of a binary shape recognition scheme. A skeleton matching algorithm is presented that efficiently characterizes the similarity between two skeletons as a distan...

Finding face features in color images using fuzzy hit-or-miss transform

This paper considers the problem of finding facial features in frontal color images. For a given image, our method at first detects skin regions on it using color segmentation in a 2D plane of selected color space (HSV, YES, YCrCb or normalized RGB), and after that generates face candidates. Then, we apply methods of fuzzy mathematical morphology to obtain face candidates in order to find a par...