how to do image recognition in iphone apps

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Yes, OpenCV works on iOS and will provide you with a good library of tools to use. You can either build your own .framework (a bit tiresome) or download one of the internet.

After that, you should be able to build computer vision software on iOS, be careful though, image processing can take a lot of power and memory.

OpenCV has its own C++ classes for images, you will probably need to convert them back and forth to UIImage for input and displaying

I leave here this piece of code I use for NSImage, you should find enough for you to change a bit the code for UIImage

//
//  NSImage+OpenCV.h
//

#import <AppKit/AppKit.h>

@interface NSImage (NSImage_OpenCV) {

} 

+(NSImage*)imageWithCVMat:(const cv::Mat&)cvMat;
-(id)initWithCVMat:(const cv::Mat&)cvMat;

@property(nonatomic, readonly) cv::Mat CVMat;
@property(nonatomic, readonly) cv::Mat CVGrayscaleMat;

@end

And

//
//  NSImage+OpenCV.mm
//

#import "NSImage+OpenCV.h"

static void ProviderReleaseDataNOP(void *info, const void *data, size_t size)
{
    return;
}


@implementation NSImage (NSImage_OpenCV)

-(CGImageRef)CGImage
{
    CGContextRef bitmapCtx = CGBitmapContextCreate(NULL/*data - pass NULL to let CG allocate the memory*/, 
                                                   [self size].width,  
                                                   [self size].height, 
                                                   8 /*bitsPerComponent*/, 
                                                   0 /*bytesPerRow - CG will calculate it for you if it's allocating the data.  This might get padded out a bit for better alignment*/, 
                                                   [[NSColorSpace genericRGBColorSpace] CGColorSpace], 
                                                   kCGBitmapByteOrder32Host|kCGImageAlphaPremultipliedFirst);

    [NSGraphicsContext saveGraphicsState];
    [NSGraphicsContext setCurrentContext:[NSGraphicsContext graphicsContextWithGraphicsPort:bitmapCtx flipped:NO]];
    [self drawInRect:NSMakeRect(0,0, [self size].width, [self size].height) fromRect:NSZeroRect operation:NSCompositeCopy fraction:1.0];
    [NSGraphicsContext restoreGraphicsState];

    CGImageRef cgImage = CGBitmapContextCreateImage(bitmapCtx);
    CGContextRelease(bitmapCtx);

    return cgImage;
}


-(cv::Mat)CVMat
{
    CGImageRef imageRef = [self CGImage];
    CGColorSpaceRef colorSpace = CGImageGetColorSpace(imageRef);
    CGFloat cols = self.size.width;
    CGFloat rows = self.size.height;
    cv::Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels

    CGContextRef contextRef = CGBitmapContextCreate(cvMat.data,                 // Pointer to backing data
                                                    cols,                      // Width of bitmap
                                                    rows,                     // Height of bitmap
                                                    8,                          // Bits per component
                                                    cvMat.step[0],              // Bytes per row
                                                    colorSpace,                 // Colorspace
                                                    kCGImageAlphaNoneSkipLast |
                                                    kCGBitmapByteOrderDefault); // Bitmap info flags

    CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), imageRef);
    CGContextRelease(contextRef);
    CGImageRelease(imageRef);
    return cvMat;
}

-(cv::Mat)CVGrayscaleMat
{
    CGImageRef imageRef = [self CGImage];
    CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceGray();
    CGFloat cols = self.size.width;
    CGFloat rows = self.size.height;
    cv::Mat cvMat = cv::Mat(rows, cols, CV_8UC1); // 8 bits per component, 1 channel
    CGContextRef contextRef = CGBitmapContextCreate(cvMat.data,                 // Pointer to backing data
                                                    cols,                      // Width of bitmap
                                                    rows,                     // Height of bitmap
                                                    8,                          // Bits per component
                                                    cvMat.step[0],              // Bytes per row
                                                    colorSpace,                 // Colorspace
                                                    kCGImageAlphaNone |
                                                    kCGBitmapByteOrderDefault); // Bitmap info flags

    CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), imageRef);
    CGContextRelease(contextRef);
    CGColorSpaceRelease(colorSpace);
    CGImageRelease(imageRef);
    return cvMat;
}

+ (NSImage *)imageWithCVMat:(const cv::Mat&)cvMat
{
    return [[[NSImage alloc] initWithCVMat:cvMat] autorelease];
}

- (id)initWithCVMat:(const cv::Mat&)cvMat
{
    NSData *data = [NSData dataWithBytes:cvMat.data length:cvMat.elemSize() * cvMat.total()];

    CGColorSpaceRef colorSpace;

    if (cvMat.elemSize() == 1)
    {
        colorSpace = CGColorSpaceCreateDeviceGray();
    }
    else
    {
        colorSpace = CGColorSpaceCreateDeviceRGB();
    }

    CGDataProviderRef provider = CGDataProviderCreateWithCFData((__bridge CFDataRef)data);

    CGImageRef imageRef = CGImageCreate(cvMat.cols,                                     // Width
                                        cvMat.rows,                                     // Height
                                        8,                                              // Bits per component
                                        8 * cvMat.elemSize(),                           // Bits per pixel
                                        cvMat.step[0],                                  // Bytes per row
                                        colorSpace,                                     // Colorspace
                                        kCGImageAlphaNone | kCGBitmapByteOrderDefault,  // Bitmap info flags
                                        provider,                                       // CGDataProviderRef
                                        NULL,                                           // Decode
                                        false,                                          // Should interpolate
                                        kCGRenderingIntentDefault);                     // Intent   


    NSBitmapImageRep *bitmapRep = [[NSBitmapImageRep alloc] initWithCGImage:imageRef];
    NSImage *image = [[NSImage alloc] init];
    [image addRepresentation:bitmapRep];

    CGImageRelease(imageRef);
    CGDataProviderRelease(provider);
    CGColorSpaceRelease(colorSpace);

    return image;
}

@end

(source)

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ratnasomu
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ratnasomu

Updated on June 05, 2022

Comments

  • ratnasomu
    ratnasomu almost 2 years

    Possible Duplicate:
    An iPhone library for shape recognition via the camera

    I am iPhone mobile apps developer and am looking for image recognition libraries to integrate in one of my App which should work like google's goggle functionality .

    I saw https://www.iqengines.com/ and downlaoded its ios sdk and it worked well . But its not free version . I am searching for open source sdk .

    also how opencv useful in accomplishing this ? beacuse some of the sources redirecting to openCV .

    Please let me know if any one come across this . Thanks