Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a template matching approach we have tried to classify generated description. We used just one font in two dif...

This paper deals with the use of some morphological tools for image and video coding. Mathematical morphology can be considered as a shape-oriented approach to signal processing, and some of its features make it very useful for compression. Rather than describing a coding algorithm, the purpose of this paper is to describe some morphological tools that have proved attractive for compression. Fo...

We describe a semi-automated approach for designing morphological operators for detecting geometric structures in images. The approach automatically combines simple morphological primitives from a pool to generate an enumerable family of complex morphological operators that span a Receiver Operating Curve (ROC). Domain knowledge can be encoded by biasing the operator pool with primitive operato...

The HLS colour space is widely used in image analysis as it is physically intuitive. As the hue component of this space is defined on the unit circle, standard greyscale image analysis operators, specifically morphological operators, are not applicable to it. A variation of the standard morphological operators which require the choice of an origin are discussed. In addition, some lexicographica...

We present a novel framework for learning morphological operators using counter-harmonic mean. It combines concepts from morphology and convolutional neural networks. A thorough experimental validation analyzes basic morphological operators dilation and erosion, opening and closing, as well as the much more complex top-hat transform, for which we report a real-world application from the steel i...

The extension of mathematical morphology operators to multi-valued functions, and in particular to color images, is neither direct nor general. In this paper is proposed a generalisation of distance-based and lexicographical-based approaches, allowing the extension of morphological operators to color images for any color representation (e.g. RGB, LSH and L*a*b*) and for any metric distance to a...

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...

In the project COMOTI – Connected Morphological Operators for Tensor Images (http://www.cs.rug.nl/svcg/SciVis/COMOTI), funded by the Dutch National Science Foundation (NWO), we address the development of techniques for morphological filtering and visualisation of tensor fields. Whereas the theoretical and algorithmic foundations for morphological operators on scalar images are well developed, t...

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

This paper presents a continuation of the study on a mathematical morphology based on left-continuous conjunctive uninorms given in [1]. Experimental results are displayed using the morphological Top-Hat transformation, used to highlight certain components of the image, and on the reduction and elimination of noise using alternate filters that are generated with the operators of opening and clo...