Can We Process 2D Images Using Artificial Bee Colony?

Abstract

Abstract. This paper is to discuss a matter of preprocessing 2D input images by selected methods of Evolutionary Computation. In the following sections we try to analyze possibility of using Artificial Bee Colony algorithm to preprocess input images for classification purposes. Experiments have been performed with the examined method applied on a set of test images, to present and discuss efficacy and precision of recognition.

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

“…This preprocessing stage is called feature extraction, see [29]. Preprocessing is performed in order to speed up computation and improve the classification performance [30]. We then selected useful features that are fast to compute and allow easy discrimination [31].…”

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