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# Color Standards A pixel color is represented as a point in 3-D space. Axis may be labeled as independent colors such as R, G, B or may use other independent.

## งานนำเสนอเรื่อง: "Color Standards A pixel color is represented as a point in 3-D space. Axis may be labeled as independent colors such as R, G, B or may use other independent."— ใบสำเนางานนำเสนอ:

Color Standards A pixel color is represented as a point in 3-D space. Axis may be labeled as independent colors such as R, G, B or may use other independent indicators such as Hue, lightness, saturation. RBG, HSV, HSL are the most popular. Image Processing

RGB RGB (Red green blue) For CRT display (TV, computer monitor)
Additive combination of r g and b Image Processing

HSV HSV (Hue Saturation Value)
Hue is effectively a measure of the wavelength of the main color. It has a value between (0-360o, Red = 0o, Green=120o and Blue=240o.) Hue can be calculated from RGB values as follows: Rh = R - min (R, G, B) Gh = G - min (R, G, B) Bh = B - min (R, G, B) At least on of these values is 0. Hue value is in between. Image Processing

HSV For example if Rh = 0 Hue angle = (240xBh + 120xGh ) / (Bh + Gh) If two are zero, then hue is the angle corresponding to the third non-zero color. If three are zero, then there is no color hue. The monitor will display a gray level (between black and white). Image Processing

Saturation Saturation is the amount of pure hue in the final color
If Saturation = 0, final color is without hue ( white light only) If Saturation = 255, no white light in final color Saturation = (max(R,G,B) - min (R,G,B)) / max(R,G,B) Image Processing

Value Value (brightness) is a measure of the intensity of the brightest component and given by Value = max(R,G,B) Image Processing

The HSV Model Image Processing

HSV Example Given R=100, G=200, B= 40, convert this RGB color model to HSV. Rh = min(100,200,40) = 60 Gh = min (100,200,40) = 160 Bh = 40 - min (100,200,40) = 0 H = (60* *(120*256/360))/(60+160) Image Processing

HSV Example (Continued)
Saturation = (max(R,G,B) - min (R,G,B)) / max(R,G,B) = (max(100,200,40)-min(100,200,40))/ max(100,200,40) = (200-40)/200 = 0.8 = 80% Saturation = 80*256/100 = 204 Value = max(100,200,40) = 200 = 200*100/256 = 78% Image Processing

Image Processing

HLS HLS (Hue Lightness Saturation)
Similar to HSV except that the hue angle start at Blue = 0o, and the model is double cone with a lightness axis going from L=0 (black) to L=1 (white) For HLS, hue is calculated the same way as for HSV model except Blue = 0 and lightness and saturation are given by: Lightness = (max(R,G,B) - min(R,G,B))/2 (max+min)/(max-min) if L <= 0.5 Saturation = (max-min)/(2-max-min) otherwise Image Processing

HLS Image Processing

CMY & CMYK CMY (Cyan Magenta Yellow) เป็นระบบสีที่พัฒนาขึ้นมาใช้สำหรับการพิมพ์ภาพสีโดยมีสีหลักคือสี Cyan Magenta และ Yellow ซึ่งเรียกว่า Subtractive primaries Color (สีแดง เขียวและน้ำเงิน เรียกว่า Additive primaries Color) ระบบสีแบบ CMY สามารถหาได้โดยการนำเอาสีในระบบ RGB ลบกับสีขาวดังนี้คือ Image Processing

CMY & CMYK ระบบสี CMY จะนำไปใช้สำหรับการพิมพ์ภาพสีแต่ยังไม่ดีเท่าที่ควรเนื่องจากไม่ยังไม่สามารถสร้างสีดำได้อย่างถูกต้อง ดังนั้นจึงมีการใช้ระบบ CMYK แทนโดย K แทนสีดำ Image Processing

The Human Vision Better than any camera yet developed
Eye has 2 classes of discrete light receptors; Cones and rods 6-7 million cones, sensitive to bright light >= 75 Million rods, sensitive to light intensity but not color eye color perceptions Image Processing

Color Additive Problem with CRT Image Processing

ดาวน์โหลด ppt Color Standards A pixel color is represented as a point in 3-D space. Axis may be labeled as independent colors such as R, G, B or may use other independent.

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