scholarly journals Satellite Image Segmentation Based on YCbCr Color Space

2015 ◽  
Vol 8 (1) ◽  
pp. 35 ◽  
Author(s):  
P. Ganesan ◽  
V. Rajini ◽  
B. S. Sathish ◽  
V. Kalist ◽  
S. K. Khamar Basha
Keyword(s):  
Image Segmentation ◽  
Satellite Image ◽  
Color Space ◽  
Ycbcr Color Space

scholarly journals Image Segmentation for Skin Detection

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Sajaa G. Mohammed ◽  
Abdulrahman H. Majeed ◽  
Ali Aldujaili ◽  
Enas Kh. Hassan ◽  
Safa S. Abdul-Jabbar
Keyword(s):  
Image Segmentation ◽  
Skin Color ◽  
Detection System ◽  
Color Space ◽  
Research Direction ◽  
Parametric Models ◽  
Future Research ◽  
Skin Detection ◽  
Ycbcr Color Space ◽  
Human Faces

Human skin detection, which usually performed before image processing, is the method of discovering skin-colored pixels and regions that may be of human faces or limbs in videos or photos. Many computer vision approaches have been developed for skin detection. A skin detector usually transforms a given pixel into a suitable color space and then uses a skin classifier to mark the pixel as a skin or a non-skin pixel. A skin classifier explains the decision boundary of the class of a skin color in the color space based on skin-colored pixels. The purpose of this research is to build a skin detection system that will distinguish between skin and non-skin pixels in colored still pictures. This performed by introducing a metric that measures the distances of pixel colors to skin tones. Results showed that the YCbCr color space performed better skin pixel detection than regular Red Green Blue images due to its isolation of the overall energy of an image in the luminance band. The RGB color space poorly classified images with wooden backgrounds or objects. Then, a histogram-based image segmentation scheme utilized to distinguish between the skin and non-skin pixels. The need for a compact skin model representation should stimulate the development of parametric models of skin detection, which is a future research direction.

Efficient RGB to YCbCr Color Space Conversion for Embedded Application

2014 ◽  
Vol 543-547 ◽  
pp. 2873-2878
Author(s):  
Hui Yong Li ◽  
Hong Xu Jiang ◽  
Ping Zhang ◽  
Han Qing Li ◽  
Qian Cao
Keyword(s):  
Direct Method ◽  
Color Space ◽  
Video Data ◽  
Floating Point ◽  
Portable Devices ◽  
Embedded Processor ◽  
Color Space Conversion ◽  
Ycbcr Color Space ◽  
Original Approach ◽  
General Method

Modern embedded portable devices usually have to deal with large amounts of video data. Due to massive floating-point multiplications, the color space conversion is inefficient on the embedded processor. Considering the characteristics of RGB to YCbCr color space conversion, this paper proposed a strategy for truncated-based LUT Multiplier (T-LUT Multiplier). On this base, an original approach converting RGB to YCbCr is presented which employs the T-LUT Multiplier and the pipeline-based adder. Experimental results demonstrate that the proposed method can obtain maximum operating frequency of 358MHz, 3.5 times faster than the direct method. Furthermore, the power consumption is less than that of the general method approximately by 15%~27%.

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