Extraction of features in images for pattern recognition

• Robson Brito Santos IFSP
• César Alberto da Silva IFSP / UFMG
• Linnyer Beatrys Ruiz Aylon UFMG / UEM

DOI: https://doi.org/10.5753/encompif.2021.15946

Abstract

This paper presents an investigation of the segmentation and extraction algorithms of image characteristics to allow object recognition. A set of images was obtained from a ranarium and used in the experiment. The experiment consisted in using a segmentation algorithm and feature extraction and carrying out a comparative study of the results of three classification algorithms. The Random Forest algorithm obtained a higher index of correctly classified instances.

Keywords: Superpixel, Computer Vision, Segmentation

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