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Accurate fruit classification is difficult to accomplish because of the similarities among the various categories. In this paper, we proposed a novel fruit‐classification system, with the goal of recognizing fruits in a more efficient way. Our methodology included the following steps. First, a four‐step pre‐processing was employed. Second, the features (colour, shape, and texture) were extracted....
This paper proposed an improved decomposition approach for structuring elements of arbitrary shape. For the model of this method, we use the recursive model which decomposes a given structuring element into a variable-size matrix dilated by a fixed-size matrix and with union of a residue component, such procedures repeated until the variable-size matrix is smaller than a predefined threshold. For...
The genetic algorithm is a search an optimization algorithm has been widely used, need no introduction. There exist various factors such as population size, representation of the population, crossover and mutation probabilities, selection method and others greatly contribute to the success of the genetic algorithm. This paper dealt with the representation of the population for the genetic algorithm...
Path finding is a fundamental research topic in transportation planning, intelligent transportation system, routine selection, etc. It is usually simplified as the shortest path (SP) in deterministic networks. However, some parameters in real life are stochastic. In this article, a more pragmatic model for stochastic networks was proposed, which not only considers determinist variables but also the...
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