我想展示一些像这个例子的图片

填充颜色由数据库中颜色为十六进制的字段决定(例如:ClassX -> color: #66FFFF)。 现在,我想显示上面的数据与所选的颜色填充(如上图),但我需要知道如果颜色是暗或光,所以我知道如果文字应该在白色或黑色。 有办法吗?谢谢大家


当前回答

以防有人关心Mark Ransom回答的SCSS版本:

@use 'sass:color' as *;
@use 'sass:math' as *;

@function col_r($color) {
    @if $color <= 0.03928 {
        @return $color / 12.92;
    } @else {
        @return pow((($color + 0.055) / 1.055), (2.4));
    }
}

@function pickTextColorBasedOnBgColorAdvanced(
  $bgColor,
  $lightColor,
  $darkColor
) {
  $r: red($bgColor);
  $g: green($bgColor);
  $b: blue($bgColor);
  $ui_r: $r / 255;
  $ui_g: $g / 255;
  $ui_b: $b / 255;

  $ui_r_c: col_r($ui_r);
  $ui_g_c: col_r($ui_g);
  $ui_b_c: col_r($ui_b);

  $L: (0.2126 * $ui_r_c) + (0.7152 * $ui_g_c) + (0.0722 * $ui_b_c);
  @if ($L > 0.179) {
    @return $darkColor;
  } @else {
    @return $lightColor;
  }
}

其他回答

以我对类似问题的回答为基础。

您需要将十六进制代码分解为3个部分,以获得单独的红色、绿色和蓝色强度。代码的每两个数字代表一个十六进制(以16为基数)表示法的值。这里我就不详细讲了,它们很容易查到。

一旦有了各个颜色的强度,就可以确定颜色的整体强度并选择相应的文本。

if (red*0.299 + green*0.587 + blue*0.114) > 186 use #000000 else use #ffffff

186的阈值是基于理论的,但可以根据口味进行调整。根据评论,低于150的阈值可能更适合您。


Edit: The above is simple and works reasonably well, and seems to have good acceptance here at StackOverflow. However, one of the comments below shows it can lead to non-compliance with W3C guidelines in some circumstances. Herewith I derive a modified form that always chooses the highest contrast based on the guidelines. If you don't need to conform to W3C rules then I'd stick with the simpler formula above. For an interesting look into the problems with this see Contrast Ratio Math and Related Visual Issues.

The formula given for contrast in the W3C Recommendations (WCAG 2.0) is (L1 + 0.05) / (L2 + 0.05), where L1 is the luminance of the lightest color and L2 is the luminance of the darkest on a scale of 0.0-1.0. The luminance of black is 0.0 and white is 1.0, so substituting those values lets you determine the one with the highest contrast. If the contrast for black is greater than the contrast for white, use black, otherwise use white. Given the luminance of the color you're testing as L the test becomes:

if (L + 0.05) / (0.0 + 0.05) > (1.0 + 0.05) / (L + 0.05) use #000000 else use #ffffff

这在代数上简化为:

if L > sqrt(1.05 * 0.05) - 0.05

或约:

if L > 0.179 use #000000 else use #ffffff

唯一剩下的就是计算l。该公式也在指南中给出,它看起来像从sRGB到线性RGB的转换,然后是ITU-R建议BT.709的亮度。

for each c in r,g,b:
    c = c / 255.0
    if c <= 0.04045 then c = c/12.92 else c = ((c+0.055)/1.055) ^ 2.4
L = 0.2126 * r + 0.7152 * g + 0.0722 * b

阈值0.179不应该改变,因为它与W3C指南相关联。如果你发现结果不是你喜欢的,试试上面更简单的公式。

我使用这个JavaScript函数将rgb/rgba转换为“白色”或“黑色”。

function getTextColor(rgba) {
    rgba = rgba.match(/\d+/g);
    if ((rgba[0] * 0.299) + (rgba[1] * 0.587) + (rgba[2] * 0.114) > 186) {
        return 'black';
    } else {
        return 'white';
    }
}

你可以输入这些格式中的任何一种它会输出"黑"或"白"

rgb (255,255,255) rgba (255,255,255,0.1) 色彩:rgba (255,255,255,0.1) 255,255,255,0.1

下面是我基于Mark的惊人回答编写的Java Swing代码:

public static Color getColorBasedOnBackground(Color background, Color darkColor, Color lightColor) {
    // Calculate foreground color based on background (based on https://stackoverflow.com/a/3943023/)
    Color color;
    double[] cL = new double[3];
    double[] colorRGB = new double[] {background.getRed(), background.getGreen(), background.getBlue()};

    for (int i = 0; i < colorRGB.length; i++)
        cL[i] = (colorRGB[i] / 255.0 <= 0.03928) ? colorRGB[i] / 255.0 / 12.92 :
                Math.pow(((colorRGB[i] / 255.0 + 0.055) / 1.055), 2.4);

    double L = 0.2126 * cL[0] + 0.7152 * cL[1] + 0.0722 * cL[2];
    color = (L > Math.sqrt(1.05 * 0.05) - 0.05) ? darkColor : lightColor;

    return color;
}

用所有24位的颜色测试怎么样?

请注意,YIQ方法将返回1.9:1的最小对比度,这不会通过AA和AAA WCAG2.0测试,假设阈值为128。

对于W3C方法,它将返回最小对比度4.58:1,通过AA和AAA测试的大文本,AA测试的小文本,它不会通过AAA测试的小文本的每一种颜色。

这是马克·兰森的答案的R版本,只使用R基。

hex_bw <- function(hex_code) {

  myrgb <- as.integer(col2rgb(hex_code))

  rgb_conv <- lapply(myrgb, function(x) {
    i <- x / 255
    if (i <= 0.03928) {
      i <- i / 12.92
    } else {
      i <- ((i + 0.055) / 1.055) ^ 2.4
    }
    return(i)
  })

 rgb_calc <- (0.2126*rgb_conv[[1]]) + (0.7152*rgb_conv[[2]]) + (0.0722*rgb_conv[[3]])

 if (rgb_calc > 0.179) return("#000000") else return("#ffffff")

}

> hex_bw("#8FBC8F")
[1] "#000000"
> hex_bw("#7fa5e3")
[1] "#000000"
> hex_bw("#0054de")
[1] "#ffffff"
> hex_bw("#2064d4")
[1] "#ffffff"
> hex_bw("#5387db")
[1] "#000000"