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Journal Neurocomputers №5 for 2013 г.
Article in number:
Object detection with MSER clusterization
Keywords: object detection general Hough transform maximally stable extremal regions face detection digital image processing clusterization
Authors:
A.V. Orlova, P.V. Skribtsov, A.V. Dolgopolov
Abstract:
The aim of this work is the development and implementation of the method is to find objects in the original image, visually similar to the standard specified as a 2D image. The approach, described in this paper, includes the use of the search algorithm stable regions MSER, clustering for searching of stable areas on digital image and combining of matches in the parameter space. The proposed algorithm has shown high performance and resistance to distortion of the input image. The proposed method is tested on color and monochrome color images. It can be assumed that the method has great potential to analyze the structure of digital images.
Pages: 38-45
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