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We present a method for locating circles in images based on the moment values of specially-constructed functions. Our approach differs from Hough-transform-type approaches in requiring no large accumulator array, searching operation, nor preliminary edge-detection step. It differs from previous work on curve location by moments by the existence of an explicit formula for the circle parameters and...
Image Registration is the first step towards using remote sensed images for any purpose. Despite numerous techniques being developed for image registration, only a handful has proved to be useful for registration of remote sensing images due to their characteristic of being computationally heavy. Recent flux in technology has prompted a legion of approaches that may suit divergent remote sensing applications...
This paper presents a novel model for assessing the water quality for the artificial habitat in shrimp aquaculture. The physical-chemical variables involved in the artificial habitat are measured and studied for modeling the environment of the ecosystem. A new physical-chemical index (Г) classifies the behavior of the environmental variables, calculating the frequency and the deviations of the measurements...
Automatic recognition of spoken alphabets is one of the difficult tasks in the field of computer speech recognition. In this research, spoken Arabic alphabets are investigated from the speech recognition problem point of view. The system is designed to recognize spelling of an isolated word. The Hidden Markov Model Toolkit (HTK) is used to implement the isolated word recognizer with phoneme based...
The problem of identifying sections of singer voice and instruments is investigated in this paper. Three classification techniques: Linde-Buzo-Gray algorithm (LBG), Gaussian Mixture Models (GMM) and feed-forward Multi-Layer Perception (MLP) are presented and compared in this paper. All techniques are based on Mel frequency Cepstral Coefficients (MFCC), which commonly used in the speech and speaker...
In this paper, we propose an optimization of fuzzy model which exploits remotely sensed multispectral reflectances to estimate Suspended Particulates Matters SPM concentrations in coastal waters. The relation between the SPM concentrations and the subsurface reflectances is modeled by a set of fuzzy rules extracted automatically from the data through two steps procedure. First, fuzzy rules are generated...
A new segmentation technique based on a color watershed using an adaptive combination of color and texture information is proposed on this paper. This information is represented by two morphological gradients, a classical color gradient and a texture gradient based on co-occurrence matrices texture features. The two morphological gradients are then mixed using a gradient component fusion strategy...
Due to the huge amount of data carried by images, it is very important to detect and identify the text region as accurately as possible before performing any character recognition. In this paper we describe a text detection algorithm in complex background. It is based on texture and connected components analysis. First we abstract texture regions which usually contain text. Second, we segment the...
We present two approaches to segment metallic phases in images of lead free solder joints. We compare the results of a method without user interaction with another one extrapolating information from a relatively small set of user labeled pixels. The segmented images provide statistical data of spatial characteristics of phases to serve as input in numerical models of solder joints.
Pasture species belonging to poaceae and fabaceae families constitute of essential elements to maintain natural and cultivated regions. Their balance and productivity are key factors for good functioning of the grassland ecosystems. The study is based on a process of image processing. First of all an individual signature is defined while considering geometric characteristics of each family. Then,...
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