hi. im trying to turn these explanation into codes but i cant, can someone help me please?

Skin color is the most vital feature in human face. Since the

emotions are to identified from the non-skin regions, The

main goal of this work is to extract the non-skin regions like

mouth and eyes from the image. It requires an appropriate

color space for segmentation. RGB color spaceImage Segmentation is one of the

most used color spaces for processing. By applying

thresholding technique to the RGB image the skin and

non-skin pixels are easily discriminated. The threshold values

applied are given below and the non skin parts are correctly

identified and shown in Fig 9

R > 95 && G > 40 && B > 20

max(R,G,B) - min(R,G,B) > 15

|R-G| > 15 && R > G && R > B

[Stephen23]

Original question (from Google Cache):

hi. im trying to turn these explanation into codes but i cant, can someone help me please?

Skin color is the most vital feature in human face. Since the emotions are to identified from the non-skin regions, The main goal of this work is to extract the non-skin regions like mouth and eyes from the image. It requires an appropriate color space for segmentation. RGB color spaceImage Segmentation is one of the most used color spaces for processing. By applying thresholding technique to the RGB image the skin and non-skin pixels are easily discriminated. The threshold values applied are given below and the non skin parts are correctly identified and shown in Fig 9

R > 95 && G > 40 && B > 20
max(R,G,B) - min(R,G,B) > 15
|R-G| > 15 && R > G && R > B

[Rena Berman]

(Answers Dev) Restored edit

Answer 1

[Raj]

How about this:

https://in.mathworks.com/matlabcentral/fileexchange/64078-skin-segmentation-based-rgb?s_tid=answers_rc2-2_p5_MLT

Good luck!