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Nowadays, chestnuts selection process in Peru is done by hand, therefore some important problems occur. People who work in this area could make a lot of mistakes because their personal situation or environment variables influence them. Fatigue, feelings, light conditions or working comfort are examples. For this reason the production may become slow and/or imprecise and think about increasing production...
In this paper the Optimized Vector and Marginal Median Self-Organizing Map (OVMMSOM) was proposed as a new method of train Self-Organizing Maps (SOM). This variant is based on order statistics, Marginal Median SOM (MMSOM) and Vector Median SOM (VMSOM). This training model combines MMSOM and VMSOM defining their particular importance through a l participation index. To demonstrate the effectiveness...
The usual method for classification processes of brazil-nut is manual and present some drawbacks like slowness, subjectivity, and inconsistency. In this paper, the main objective is to automate the classification process by analysing digital images with multiple brazil-nuts. These images have been segmented using the Level Set method without reinitialization with a new stopping criteria based on the...
Clustering is an unsupervised classification method that divides a data set in groups, where the elements of a group have similar characteristics to each other. A well-known clustering method is the Growing Hierarchical Self-Organizing Map (GH-SOM), that improves the results of an ordinary SOM by controlling the number of neurons generated. In this paper it is proposed a optimization of the typical...
The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however the semantic gap between low-level image features and high-level semantic concepts handled by the user, is one of the main problems in the image retrieval. On the other hand, the relevance feedback has been used on many CBIR systems such as an effective solution...
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