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International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)

By
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791859940
No. of Pages:
460
Publisher:
ASME Press
Publication date:
2012

In this paper, we proposed the wavelet transform and color space object segmentation. Image segmentation for image brightness has a great influence, it is necessary to adjust the brightness of the image, and select the correct color space and definition of success threshold to make a more complete image can be divided. The wavelet transform can not only compress image, but also improve the lighting problem, we use improving variable illumination on wavelet(IVIW) to adjust the brightness, then after several wavelet image decomposition to obtained by the average gray scale image of pixel, making the image brightness normalize and reconstruction. There are several types of color space, due to Ycbcr color space have good response of light, we use the RGB color convert to the Ycbcr color space with extract the luminance to threshold segmentation. Experimental results show that the method effectively improved the quality of image segmentation.

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