In this paper, we propose an applicable genetic programming approach to solve the problems of binary image analysis and gray scale image enhancement. Given a section of original image and the corresponding goal image, the proposed algorithm evolves for generations and produces a mathematic morphological operation sequence, and the result performed by which is close to the goal. When the operati...

In this paper we consider speedup potential of morphological image filtering on ARM processors. Morphological operations are widely used in image analysis and recognition and their speedup in some cases can significantly reduce overall execution time of recognition. More specifically, we propose fast implementation of erosion and dilation using ARM SIMD extension NEON. These operations with the...

We present a generalization of the concept of Convex Sets, based on the Morphological Closing operation, and study some of its properties. We also deene Extreme Points of such Generalized Convex Sets, which generalize the notion of Extreme Points of Convex Sets. Moreover, we apply the above notions to skeleton redundancy removal, and present an algorithm for obtaining an Error-Free Skeleton rep...

Empirical Mode Decomposition (EMD) is a signal decomposition technique particularly suitable for non-stationary and non-linear signals. In this paper, two target detection methods with improved accuracy in side scan sonar images are proposed. In the first method, target detection is based on morphological operations; the second method combines Empirical Mode Decomposition (EMD) with morphologic...

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...

Autoassociative morphological memories (AMM) are memory models that use operations of mathematical morphology for the storage and recall of pattern associations. These models can be very well de ned in a mathematical structure called complete lattice. In this paper, we introduce the Brouwerian autoassociative morphological memories (BAMMs) that are de ned on a complete Brouwerian lattice. The a...

A new operator to compute time differentiation in an image sequence is presented. It is founded on hybrid filters combining morphological and linear recursive operations. It estimates recursively the amplitude of time-variation within a certain interval. It combines the change detection capability of the temporal morphological gradient, and the (exponential) smoothing effect of the linear recur...

-----------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------An efficient two stage morphological impulse noise detector is proposed in this paper. The proposed method first identifies the noise pixels by comparing the current pixel with the brightest and the darkest pixels in its working window and then in secon...

⎯An adaptive algorithm for removing false ridges, bridges and filling gaps in binary fingerprint images based on morphological operations is presented. A novel procedure for structuring elements design based on the specific fingerprint characteristic is described. Using the images from FVC2000 database, we have compared our method proposed here with the approach proposed by other ones. The Expe...

I present a computational model that allows for a clean formal account of a wide variety of morphological phenomena. Much of what i present is based on the large literature on finite-state approaches to morphology, but it is more coherent in that I propose that all morphological operations can be modeled using a single regular operation: composition. I define this operation and give several exa...