A multi-scale morphological algorithm for local contrast enhancement of color images is presented in this paper. The three color components are used to construct the magnitude image and the direction cosines of the color vectors at each pixel location. The contrast of the magnitude image is enhanced using multi-scale morphological filters. The enhanced red, green and blue channel images are obt...

A system for automatic quantification of morphological changes of cell lines, proposed for cytotoxicity tests of biomaterials, is presented. Light-micrographs of cultured cells are segmented by adaptive thresholding within a local adaptive window. Connected cells in binarized micrographs are separated by a novel morphological multiscale method, treating cells in their size-specific scale and he...

Leaf features play an important role in plant species identification and plant taxonomy. The type of the leaf vein is an important morphological feature of the leaf in botany. Leaf vein should be extracted from the leaf in the image before discriminating its type. In this paper a new method of leaf vein extraction has been proposed based on gray-scale morphology. Firstly, the color image of the...

Nano-technology is the study of matter behaviour on atomic and molecular scale (i.e. nano-scale). In particular, carbon black is a nano-material generally used for the reinforcement of rubber compounds. Nevertheless, the exact reason behind its success in this concrete domain remains unknown. Characterisation of rubber nano-aggregates aims to answer this question. The morphology of the nano-agg...

This work introduces a new algorithm for gray-scale image compression using mathematical morphology tools. In order to get a good compression ratio, a bit-plane decomposition is used. Different planes are coded by different methods. The first 4 more significant planes are coded by a combined boundary-sceleton technique, because they are preserving the most important part of information. For the...

Standard formulation of morphological operators is translation invariant in the space and in the intensity: the same processing is considered for each point of the image. A current challenging topic in mathematical morphology is the construction of adaptive operators. In previous works, the adaptive operators are based either on spatially variable neighbourhoods according to the local regularit...

We have studied the radial distribution of the early (E/S0) and late (S/Irr) types of satellites around bright host galaxies. We made a volume-limited sample of 4,986 satellites brighter than Mr = −18.0 associated with 2,254 hosts brighter than Mr = −19.0 from the SDSS DR5 sample. The morphology of satellites is determined by an automated morphology classifier, but the host galaxies are visuall...

Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. We present here a nonlinear type of smoother related to mathematical morphology which meets (modiied) \scale-space ax-ioms" and also generates a \scale-space." This scale-space is full-plane and preserves the positions of features.

We investigated the structure-morphology-performance relationship of diketopyrrolopyrrole (DPP)-based low band gap polymers with different donor cores in organic field effect transistors (OFETs) and organic photovoltaics (OPVs). The change in the chemical structure led to strong physical property differences, such as crystalline behavior, blend morphology, and device performance. In addition, t...

In this paper we present a multi-scale method based on mathematical morphology which can successfully be used in pattern classification tasks. A connected operator similar to the morphological hat-transform is defined, and two scale-space representations are built. The most important features are extracted from the scale spaces by unsupervised cluster analysis, and the resulting pattern vectors...