Detecting skin in face recognition systems: A colour spaces study

Chaves-González, José M.; Vega‐Rodríguez, Miguel A.; Gómez–Pulido, Juan A.; Sánchez‐Pérez, Juan M.

doi:10.1016/j.dsp.2009.10.008

Cited by 179 publications

(93 citation statements)

References 29 publications

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“…For example, the scaling and offset applied to the Y component per specification results in the value of 16 for black and the value of 235 for white when using an8-bit representation. The standard has 8 bit digitized versions of Cb and Cr scaled to a different range of 16-240 [11]. C. Skin color segmentation in fuzzy YCBCR color space The YCbCr space was chosen for six reasons: (1) The luminance component (Y) of YCbCr is independent of the color, so can be adopted to solve the illumination variation problem and it is easy to program.…”

Section: B Ycbcr Color Spacementioning

confidence: 99%

Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

Iraji¹,

Tosinia²

2012

IJIGSP

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Abstract-In this paper, an efficient and accurate method for human color skin recognition in color images with different light intensity will proposed .first we transform inputted color image from RGB color space to YCBCR color space and then accurate and appropriate decision on that if it is in human color skin or not will be adopted according to YCBCR color space using fuzzy, adaptive fuzzy neural network(anfis) methods for each pixel of that image. In our proposed system adaptive fuzzy neural network(anfis) has less error and system worked more accurate and appropriative than prior methods.

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Section: B Ycbcr Color Spacementioning

confidence: 99%

Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

Iraji¹,

Tosinia²

2012

IJIGSP

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“…Cb represents the value for the blue component (B − Y) and Cr saves the information for the red color component (R − Y). YCbCr is widely used for digital video encoding [19]. In [20], we presented a rescaling formula for YCbCr called JPEG-YCbCr which used in the JPEG image format, with Y, Cb and Cr in [0,1].…”

Section: Color Spacesmentioning

confidence: 99%

“…If all components are of highest intensity, then the color white results. This is the most extended and used color format because it is the one used in displays technology [19]. In YCbCr model, colors are specified in terms of luminance (Y channel) and chrominance (Cb and Cr channels).…”

Section: Color Spacesmentioning

confidence: 99%

Non Correlation DWT Based Watermarking Behavior in Different Color Spaces

Khalili¹,

Nazari²

2016

ijacsa

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Abstract-There are two digital watermarking techniques. Digital watermarking techniques based on correlation and digital watermarking techniques that are not based on correlation. In previous work, we proposed a DWT2 based CDMA image watermarking scheme to study the effects of using eight color spaces RGB, YCbCr, JPEG-YCbCr, YIQ, YUV, HSI, HSV and CIELab, on watermarking algorithms based on correlation techniques. This paper proposes a non correlation based image watermarking scheme in wavelet transform domain and tests it in the same color spaces, to develop studying, reach a comprehensive analysis and focus on satisfying the requirements of based non coloration watermarking algorithms. To achieve more security, imperceptibility and robustness of the proposed scheme, first, the binary watermark image encodes by applying ATM, CCM and exclusive OR. Then, the scrambled watermark embeds into intended quantized approximation coefficients of wavelet transform by LSB insertion technique.

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“…For these and other reasons, many video standard uses luma and two color difference signals. The most common are the YUV, YIQ and YCbCr color spaces [10][11][12].…”

Section: Rgb To Ycbcr Transformationmentioning

confidence: 99%

“…In preprocessing step, many decorrelating transforms like YCbCr, YUV, YIQ [10][11][12] are used to reduce the correlation between the R, G and B plane. We can preferably use one of these color space transforms before the application of wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Compression of MR Images Using DWT by Comparing RGB and YCbCr Color Spaces

Jayprkash¹,

Vijay²

2013

JSIP

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This paper consists of a lossy image compression algorithm dedicated to the medical images doing comparison of RGB and YCbCr color space. Several lossy/lossless transform coding techniques are used for medical image compression. Discrete Wavelet Transform (DWT) is one such widely used technique. After a preprocessing step (remove the mean and RGB to YCbCr transformation), the DWT is applied and followed by the bisection method including thresholding, the quantization, dequantization, the Inverse Discrete Wavelet Transform (IDWT), YCbCr to RGB transform of mean recovering. To obtain the best compression ratio (CR), the next step encoding algorithm is used for compressing the input medical image into three matrices and forward to DWT block a corresponding containing the maximum possible of run of zeros at its end. The last step decoding algorithm is used to decompress the image using IDWT that is applied to get three matrices of medical image.

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Detecting skin in face recognition systems: A colour spaces study

Cited by 179 publications

References 29 publications

Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

Skin Color Segmentation in YCBCR Color Space with Adaptive Fuzzy Neural Network (Anfis)

Non Correlation DWT Based Watermarking Behavior in Different Color Spaces

Compression of MR Images Using DWT by Comparing RGB and YCbCr Color Spaces

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