This paper concerns the application of mathematical morphology operations for suppression of speckle from radar satellite images. Different traditional widely-used filters are compared with the morphological alternate filters, especially with the filter with multiple structuring function. The comprehensive comparison of the traditional filters is presented, as well as the background on mathemat...

This paper presents morphological operators with nonxed shape kernels, or amoebas, which take into account the image contour variations to adapt their shape. Experiments on grayscale and color images demonstrate that these novel lters outperform classical morphological operations with a xed, space-invariant structuring element for noise reduction applications. Tests on synthetic 3D images are t...

We define deterministic augmented letter transducers (DALTs), a class of finitestate transducers which provide an efficient way of implementing morphological analysers which tokenize their input (i.e., divide texts in tokens or words) as they analyse it, and show how these morphological analysers may be maintained (i.e., how surface form–lexical form transductions may be added or removed from t...

The properties and applications of morphological filters for speech analysis are investigated. We introduce and investigate a novel nonlinear spectral envelope estimation method based on morphological operations, which is found to be very robust against noise. This method is also compared with the spectral envelope estimation vocoder (SEEVOC) method. A simple method for the optimum selection of...

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...

This paper highlights some fast algorithms for image filtering, specifically – box and Gaussian smoothing, Hann filtering, median filtering, and morphological operations. It is shown that some of these algorithms can be implemented with computational cost independent of a filter radius.

The road network detection is an emerging area in information extraction from high-resolution satellite images (HRSI). The proposed work in this paper consists of three steps: Pre-filtering, connected component-based operations, and removal of unwanted non-road pixels using morphological operations. The proposed algorithm is experimented on various satellite images and the performance of the sy...

In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is applied in some processing operations of some important medical images, namely retina images, for detecting various symptoms connected with diabetic retinopathy. Some specific processing tasks like morphological operations, linear filtering and thresholding are proposed, the corresponding templat...

An improvement of the majority gate algorithm suitable for grey scale morphological operations is presented in this letter. The redundancy of temporal signals led to a simplified hardware implementation. It is shown that max/min operators can be computed by the same circuit. A new pipelined systolic array architecture based on this circuit is illustrated for dilation/erosion operations. 2 Intro...