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In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. To carry through this task, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems,...
In this paper we propose a coin recognition system using a statistical approach and apply it to the recognition of Jordanian coins. The proposed method depends on two features in the recognition process: the color of the coin, and its area. The recognition process consists of several steps. Firstly, a gray-level image is extracted from the original colored image. The image is then segmented into two...
Vehicle license plate recognition (VLPR) is one of the most important topics of using computer vision and pattern recognition in intelligent transportation systems. In order to recognize a license plate (LP) efficiently, the location of the LP in most cases must be extracted in the initial step. In this proposed algorithm, initially, HSI color model is adopted to select automatically statistical threshold...
Image segmentation, which is the first essential and fundamental issue in the image analysis and pattern recognition, is a classical difficult problem in the image processing. The color images, which possess more visual information than the gray images do, have aroused more and more attentions. In the medical imaging system, according to the different absorbency of different tissues, the staining...
In this paper we present an application of statistical pattern recognition methods to the analysis of air photographs in order to evaluate the vegetation cover in a Pilica River catchment (Central Poland). The analysis is a basis for using plants to improving water quality and increasing its availability. The task for the image processing and analysis system is to recognize in the air picture the...
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