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This paper presents a new method for the detection and classification of power disturbances in power distribution systems using Half Multi-resolution Morphology Gradients (H-MMG). This method is based on multi-resolution morphology gradients (MMG), but the process only uses half the MMG strategy. In addition, this strategy will operate in level 1 only, so this will reduce the processing and increase...
Recently, the satellite-based Vessel Monitoring Systems (VMS) have been widely deployed on fishing vessels. Recognition of fishing activity is the key task for various applications. Previous approaches are basically according to change of vessel's speed; or rely on the validated data from logbooks or documented observations. In this paper, with a rated 60-second temporal resolution VMS data for two...
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the approach consists in empirically computing shape statistics (i.e., mean shape and variance of shape) and then to use simple algorithms for random shape generation, for empirical shape confidence boundaries computation and for...
As an important step in an automatic fingerprint recognition system, fingerprint segmentation aims to extract the foreground of a fingerprint image in an efficient way. In this paper, an initiative algorithm for fingerprint segmentation is presented. First, the model of Pulse Coupled Neural Networks (PCNN) is utilized to binarize the fingerprint image. Then, morphological methods are adopted to obtain...
A complete system for the recognition of unconstrained handwritten words using a continuous density variable duration hidden Markov model (CDVDHMM) is described. First, a novel segmentation algorithm based on mathematical morphology is developed to translate the 2-D image into a 1-D sequence of subcharacter symbols. This sequence of symbols is modeled by the CDVDHMM. Thirty-five features are selected...
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