CIFunHouse/Custom Filters/Sobel.m

/*
     File: Sobel.m
 Abstract: 
  Version: 1.0
 
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 */
 
#if TARGET_OS_IPHONE
#import <CoreImage/CoreImage.h>
#else
#import <QuartzCore/QuartzCore.h>
#endif
 
 
@interface SobelEdgeH : CIFilter
{
    CIImage *inputImage;
    NSNumber *inputGain;
}
@property (retain, nonatomic) CIImage *inputImage;
@property (copy, nonatomic)   NSNumber *inputGain;
@end
 
 
@interface SobelEdgeV : CIFilter
{
    CIImage *inputImage;
    NSNumber *inputGain;
}
@property (retain, nonatomic) CIImage *inputImage;
@property (copy, nonatomic)   NSNumber *inputGain;
@end
 
 
@implementation SobelEdgeH
 
@synthesize inputImage;
@synthesize inputGain;
 
+ (NSDictionary *)customAttributes
{
    return @{
             kCIAttributeFilterDisplayName : @"Sobel Edge Horizontal",
             kCIAttributeFilterCategories :  @[kCICategoryGradient, kCICategoryVideo, kCICategoryInterlaced, kCICategoryStillImage],
             @"inputGain" :
                 @{
                     kCIAttributeSliderMin : @-1.0,
                     kCIAttributeSliderMax :  @1.0,
                     kCIAttributeDefault   :  @1.0,
                     kCIAttributeType      : kCIAttributeTypeScalar
                     }
             };
}
 
- (void)setDefaults
{
    self.inputGain = @1.0;
}
 
- (CIImage *)outputImage
{
    if (inputImage == nil)
        return nil;
    
    double g = inputGain.doubleValue;
    
    const CGFloat weights[] = { 1*g, 0, -1*g,
                                2*g, 0, -2*g,
                                1*g, 0, -1*g};
    CIImage* result = nil;
    
    // The sobel convoloution will produce an image that is 0.5,0.5,0.5,0.5 whereever the image is flat
    // On edges the image will contain values that deviate from that based on the strength and
    // direction of the edge
    
    result = [CIFilter filterWithName:@"CIConvolution3X3" keysAndValues:
                                    @"inputImage", inputImage,
                                    @"inputWeights", [CIVector vectorWithValues:weights count:9],
                                    @"inputBias", @0.5,
                                    nil].outputImage;
    
    // Add filters to mage the image look pretty for display purposes.
    // We want the display image to be 0,0,0,1 where the image is flat
    // and closer to 1,1,1,1 based on the strength of the edge
    
    result = [CIFilter filterWithName:@"CISourceOverCompositing" keysAndValues:
              @"inputImage", result,
              @"inputBackgroundImage", [CIImage imageWithColor:[CIColor colorWithRed:0 green:0 blue:0 alpha:1]],
              nil].outputImage;
    
    
    result = [CIFilter filterWithName:@"CIColorPolynomial" keysAndValues:
                                        @"inputImage", result,
                                        @"inputRedCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
                                        @"inputGreenCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
                                        @"inputBlueCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
                                    nil].outputImage;
 
    return result;
}
 
@end
 
 
@implementation SobelEdgeV
 
@synthesize inputImage;
@synthesize inputGain;
 
+ (NSDictionary *)customAttributes
{
    return @{
             kCIAttributeFilterDisplayName : @"Sobel Edge Vertical",
             kCIAttributeFilterCategories :  @[kCICategoryGradient, kCICategoryVideo, kCICategoryInterlaced, kCICategoryStillImage],
             @"inputGain" :
                 @{
                     kCIAttributeSliderMin : @-1.0,
                     kCIAttributeSliderMax :  @1.0,
                     kCIAttributeDefault   :  @1.0,
                     kCIAttributeType      : kCIAttributeTypeScalar
                     }
             };
}
 
- (void)setDefaults
{
    self.inputGain = @1.0;
}
 
- (CIImage *)outputImage
{
    if (inputImage == nil)
        return nil;
    
    double g = inputGain.doubleValue;
    
    const CGFloat weights[] = {-1*g,-2*g,-1*g,
                                  0,   0,   0,
                                1*g, 2*g, 1*g};
    
    CIImage* result = nil;
    
    // The sobel convoloution will produce an image that is 0.5,0.5,0.5,0.5 whereever the image is flat
    // On edges the image will contain values that deviate from that based on the strength and
    // direction of the edge
    
    result = [CIFilter filterWithName:@"CIConvolution3X3" keysAndValues:
              @"inputImage", inputImage,
              @"inputWeights", [CIVector vectorWithValues:weights count:9],
              @"inputBias", @0.5,
              nil].outputImage;
    
    // Add filters to mage the image look pretty for display purposes.
    // We want the display image to be 0,0,0,1 where the image is flat
    // and closer to 1,1,1,1 based on the strength of the edge
    
    result = [CIFilter filterWithName:@"CISourceOverCompositing" keysAndValues:
              @"inputImage", result,
              @"inputBackgroundImage", [CIImage imageWithColor:[CIColor colorWithRed:0 green:0 blue:0 alpha:1]],
              nil].outputImage;
    
    
    result = [CIFilter filterWithName:@"CIColorPolynomial" keysAndValues:
              @"inputImage", result,
              @"inputRedCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
              @"inputGreenCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
              @"inputBlueCoefficients", [CIVector vectorWithX:1.0 Y:-4.0 Z:4.0 W:0.0],
              nil].outputImage;
    
    return result;
}
 
@end