我想在图像中找到特定的颜色,例如我有一个有很多颜色的图像。通过指定红色参数我想要更改除红色像素之外的其他颜色像素。请看下面的图片。在上面更新的图像中,只有模糊颜色突出显示所有其他颜色都被更改。
答案 0 :(得分:2)
好的,所以我很好奇实现这个反向色度键的难度,结果发现,给定example from Apple它很容易!
// Allocate memory
const unsigned int size = 32;
float *cubeData = (float *)malloc (size * size * size * sizeof (float) * 4);
float rgb[3], *c = cubeData;
CGFloat hue = CGFLOAT_MAX;
CGFloat minHueAngle = 210;
CGFloat maxHueAngle = 240;
// Populate cube with a simple gradient going from 0 to 1
for (int z = 0; z < size; z++){
rgb[2] = ((double)z)/(size-1); // Blue value
for (int y = 0; y < size; y++){
rgb[1] = ((double)y)/(size-1); // Green value
for (int x = 0; x < size; x ++){
rgb[0] = ((double)x)/(size-1); // Red value
// Convert RGB to HSV
// You can find publicly available rgbToHSV functions on the Internet
UIColor *color = [UIColor colorWithRed:rgb[0] green:rgb[1] blue:rgb[2] alpha:1];
[color getHue:&hue saturation:nil brightness:nil alpha:nil];
hue *= 360;
// Use the hue value to determine which to make transparent
// The minimum and maximum hue angle depends on
// the color you want to remove
float alpha = (hue > minHueAngle && hue < maxHueAngle) ? 1.0f: 0.0f;
// Calculate premultiplied alpha values for the cube
c[0] = rgb[0] * alpha;
c[1] = rgb[1] * alpha;
c[2] = rgb[2] * alpha;
c[3] = alpha;
c += 4; // advance our pointer into memory for the next color value
}
}
}
// Create memory with the cube data
NSData *data = [NSData dataWithBytesNoCopy:cubeData
length:(size * size * size * sizeof (float) * 4)
freeWhenDone:YES];
CIFilter *colorCube = [CIFilter filterWithName:@"CIColorCube"];
[colorCube setValue:@(size) forKey:@"inputCubeDimension"];
[colorCube setValue:data forKey:@"inputCubeData"];
UIImage *originalImage = [UIImage imageNamed:@"yourImageName"];
CIImage *ciImage = [CIImage imageWithCGImage:originalImage.CGImage];
[colorCube setValue:ciImage forKey:kCIInputImageKey];
UIImage *result = [UIImage imageWithCIImage:[colorCube outputImage]];
我必须说它看起来相当不错,因为我只修改了一两分钟的值。当然,为了达到您想要的总体最终结果,您需要再使用两个过滤器 - 即CIPhotoEffectMono
和CISourceOverCompositing
来使您的原始图像变为黑色&amp;白色,然后将来自CubeMap过滤器的结果叠加在黑色&amp;白色图片。