This paper examines the set-theoretic interpretation of morphological filters in the framework of mathematical morphology and introduces the representation of classical linear filters in terms of morphological correlations, which involve supremumlinfimum operations and additions. Binary signals are classified as sets, and multilevel signals as functions. Two set-theoretic representations of sig...

In this work we study morphological methods to reduce the amount of redundant points in the Skeleton representation of images. The advantage of removing redundant points using morphological operations only, lies in the computational eeciency of these operations, when implemented on parallel machines. We present a generic approach to obtain redundancy-reduced Skeletons, which yields morphologica...

Image segmentation involves calculating the position of object boundaries. For scene analysis, the intent is to di erentiate objects from clutter by means of preprocessing. The objective of this paper is to examine and discuss two morphological techniques for preprocessing and segmenting range images. A MorphologicalWatershed Algorithm has been studied in detail for segmenting range images. Thi...

Positive semidefinite matrix fields are becoming increasingly important in digital imaging. One reason for this tendency consists of the introduction of diffusion tensor magnetic resonance imaging (DTMRI). In order to perform shape analysis, enhancement or segmentation of such tensor fields, appropriate image processing tools must be developed. This paper extends fundamental morphological opera...

In present time, in medical line there are many techniques have been researched for detect the TUMOR from human brain (medical image). Many techniques are available, Brain cancer detection in magnetic resonance images (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary to treatment planning a...

In the paper the implementation aspects of mathematical morphology based on a new formalization of the window operation is presented. The proposed technique called the Reverse Window Operation (RWO) can also be applied to adaptive morphological operations. In order to reduce the control complexity an algorithm is proposed, which uses a region-based parameter modiication for the structuring elem...

In this paper, we propose an effective binarization method for de-graded document images in this paper. This method employs morphological operations throughout its algorithm to suppress uneven illumination in the background region, to detect the character location and to reconstruct text regions. Moreover, a technique for estimating stroke width of characters is introduced to remove noises in a...

Morphological operations are simple mathematical constructs, which have led to effective solution for many problems in image processing and computer vision. These solutions employ discrete operators and are applied to digitized images. The mathematics behind the morphological operators also exists in the continuous domain, the domain where the images came from. We observed that the discrete ope...

Thresholding method based on transition region is a new approach for image segmentation. In this paper, a novel transition region extraction and thresholding method based on maximum entropy and morphological operations. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with maximum entropy an...