Class Separation Improvements in Pixel Classification Using Colour Injection

Sensors

Edward Blanco²  Manuel Mazo¹  Luis Bergasa¹  Sira Palazuelos¹  Jose Rodríguez¹  Cristina Losada¹ 

[1] Electronics Department, University of Alcalá, Campus Universitario s/n, 28805, Alcalá de Henares, Spain; E-Mails:;Department of Electronics and Electromechanics, Pontificia Universidad Católica Madre y Maestra, 822 Santiago, Dominican Republic; E-Mail:

关键词: pixel classification;    colour clustering;    colour segmentation;    class separation;    colour sub-spaces;    colour injection;   

DOI  :  10.3390/s100807803

来源: mdpi

【 摘 要 】

This paper presents an improvement in the colour image segmentation in the Hue Saturation (HS) sub-space. The authors propose to inject (add) a colour vector in the Red Green Blue (RGB) space to increase the class separation in the HS plane. The goal of the work is the development of an algorithm to obtain the optimal colour vector for injection that maximizes the separation between the classes in the HS plane. The chromatic Chrominace-1 Chrominance-2 sub-space (of the Luminance Chrominace-1 Chrominance-2 (YC₁C₂) space) is used to obtain the optimal vector to add. The proposal is applied on each frame of a colour image sequence in real-time. It has been tested in applications with reduced contrast between the colours of the background and the object, and particularly when the size of the object is very small in comparison with the size of the captured scene. Numerous tests have confirmed that this proposal improves the segmentation process, considerably reducing the effects of the variation of the light intensity of the scene. Several tests have been made in skin segmentation in applications for sign language recognition via computer vision, where an accurate segmentation of hands and face is required.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.