The Image Recognition of Mobile Robot Based on CIE Lab Space
Author(s) -
Xuan Zou,
Bin Ge
Publication year - 2014
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2014.02.04
Subject(s) - computer science , artificial intelligence , computer vision , image (mathematics) , distortion (music) , planar , object (grammar) , robot , segmentation , space (punctuation) , pattern recognition (psychology) , computer graphics (images) , operating system , computer network , amplifier , bandwidth (computing)
The image recognition of mobile robot is to extract the effective target information. The essence of image extraction is image segmentation. By extracting and distinguishing planar objects and three-dimensional objects, we propose two new algorithms. The color image is extracted by using CIE Lab Space. Then we propose a comparison method through the collection of two image samples. According to the principle of geometric distortion in the geometric space, we can easily distinguish the planar object in the environment. Therefore, Experimental results show that the combination of these two methods is accurate and fast in the color image recognition.
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