BACKGROUND AND AIMS Fine root decomposition is an important determinant of nutrient and carbon cycling in grasslands; however, little is known about the factors controlling root decomposition among species. Our aim was to investigate whether interspecific variation in the potential decomposition rate of fine roots could be accounted for by root chemical and morphological traits, life history an...

The structure of lexical entries and the status of lexical decomposition remain controversial. In the psycholinguistic literature, one aspect of this debate concerns the psychological reality of the morphological complexity difference between compound words (teacup) and single words (crescent). The present study investigates morphological decomposition in compound words using visual lexical dec...

The choice and detailed design of structuring elements plays a pivotal role in the morphologic processing of images. A broad class of morphological operations can be expressed as an equivalent supremum of erosions by a minimal set of basis filters. Diverse morphological operations can then be expressed in a single, comparable framework. The set of basis filters are data-like structures, each fi...

Morphological shape decomposition is used to model a facial image region as a sum of components and to extract a feature vector at the nodes of a sparse grid overlaid over the facial area in dynamic link matching. The feature vector is comprised of the greylevel values at this node in the reconstructed images at several decomposition levels. This feature vector is subsequently employed in Dynam...

Colour images are being used in many fields of research. One of the major issues of these types of colour images is their poor perception. A new method to enhance the colour image which using the concept of curvelet and multi structure decomposition. The proposed enhancement technique uses DCT (Discrete Curvelet Transform) to decomposed input image into different sub bands. Multi Structure (Mor...

This paper presents some results to decompose circular structuring elements into 3 x 3 elements. Decomposition allows to improve the expended time in computing morphological operations. Generally, the shape of the structuring element determines the image transformation. Morphological operations with disks can be used as slhape and size descriptors. The optimal discrete approximation of a disk c...

This paper presents a simple yet efficient algorithm for multifocus image fusion, using a multiresolution signal decomposition scheme. The decomposition scheme is based on a nonlinear wavelet constructed with morphological operations. The analysis operators are constructed by morphological dilation combined with quadratic downsampling and the synthesis operators are constructed by morphological...

Problem statement: A generalized skeleton transform allows a shape to be represented as a collection of modestly overlapped octagonal shape parts. One problem with several generalized Morphological skeleton transforms is that they generate noise after decomposition. The noise rate may not be effective for ordinary images; however this effect will be more when applied on printed or handwritten c...

In morphological image processing and analysis, a template or structuring element is applied to an image. Often savings in computation time and a better fit to the given computer architecture can be achieved by using the technique of template decomposition. Researchers have written a multitude of papers on finding such decompositions for special classes of templates. Justifying recent integer p...