Face detection in complicated backgrounds and different illumination conditions by using YCbCr color space and neural network

Lin, Chiunhsiun

doi:10.1016/j.patrec.2007.07.003

Cited by 68 publications

(39 citation statements)

References 22 publications

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“…In [39], the authors use YC b C r to model skin and further segment human face in color from images, other examples that use this color space are [40][41][42][43]. Recently, in [44] a comparison of skin color segmentation results using the YC b C r and CIE L*a*b* color spaces, experimental results show that CIE L*a*b* performs better because it gives more information than the other color space model.…”

Section: Image Preprocessing Challenges Color Spacesmentioning

confidence: 99%

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

Rosado¹,

Vasconcelos²,

Castro³

et al. 2015

Dermoscopy Image Analysis

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Section: Image Preprocessing Challenges Color Spacesmentioning

confidence: 99%

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

Rosado¹,

Vasconcelos²,

Castro³

et al. 2015

Dermoscopy Image Analysis

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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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“…He defined a threshold for each component of ycbcr, if the components of each pixel was greater than the threshold, they were skin color, otherwise , were nonskin color [1].…”

Section: Skin Color Segmentation Algorithmsmentioning

confidence: 99%

“…Skin Color has comprehensive usage in identification recognition systems , machine vision and moreover in intelligent systems for human kind interactions [1].…”

Section: Introductionmentioning

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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Face detection in complicated backgrounds and different illumination conditions by using YCbCr color space and neural network

Cited by 68 publications

References 22 publications

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

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

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

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