Is morphology a discrete and independent element of lexical structure or does it simply reflect a fine tuning of the system to the statistical correlation that exists among the orthographic and semantic properties of words? Imaging studies in English failed to show unequivocal morphological activation that is distinct from semantic or orthographic activation. Cognitive research in Hebrew has re...

The key to successful morphological image processing is the selection of structuring elements. There are a myriad of algorithms for a multitude of imaging applications, but in each and every instance, algorithm performance depends on the structuring elements. The classical approach to morphological processing is to have a human being, or a group of human beings, use intuition and an understandi...

This paper presents an architecture for the efficient and high-speed realization of morphological filters. Since morphological filtering can be described in terms of erosion and dilation, two basic building units performing these functions are required for the realization of any morphological filter. Dual architectures for erosion and dilation are proposed and their operations are described. Th...

One of the extensions of binary morphology to greyscale images is given by the classical fuzzy mathematical morphology. Interval-valued fuzzy mathematical morphology further extends the latter theory by now also allowing uncertainty in the grey values of the image. In this paper, the decomposition of the intervalvalued fuzzy morphological operations into their binary counterparts is studied bot...

Multiscale methods which provide a decomposition of an image based on scale have many uses in image analysis. One class of such methods from mathematical morphology is based on size distributions or granulometries. In this paper a different type of image decomposition based on shape but not scale is proposed. Called a shape granulometry or shape distribution, it is built from a family of morpho...

In the field of computer vision, computer scientists extract knowledge from an image by manipulating it through image transforms. In the mathematical language of image algebra an image transformation often corresponds to an image-template product. When performing this operation on a computer, savings in time and memory as well as a better fit to the specific computer architecture can often be a...

We present a new method to transform the spectral pixel information of a micrograph into an affine geometric description, which allows us to analyze the morphology of granular materials. We use spectral and pulse-coupled neural network based segmentation techniques to generate blobs, and a newly developed algorithm to extract dilated contours. A constrained Delaunay tesselation of the contour p...