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我想將一個UIImage轉換爲cv :: Mat,這樣我就可以在其上使用LineIterator OpenCV類。我在這裏使用opencv文檔提供的代碼,特別是在該頁面上找到的cvMatGrayFromUIImage。我在我寫的函數中使用了這段代碼,然後在我的swift文件中調用它。但是,當我嘗試打印cv :: Mat圖像時,數組中的數字不能準確反映輸入圖像的灰度。我把數組放到Matlab中,調用imagesc函數來查看它是否確實是灰度。在OpenCV中將UIImage轉換爲cv :: Mat問題
這裏是我用我的OpenCVWrapper.mm
-(void) getPixelIntensity: (UIImage *)image
{
//Transform UIImage to cv::Mat
CGColorSpaceRef colorSpace = CGImageGetColorSpace(image.CGImage);
CGFloat cols = image.size.width;
CGFloat rows = image.size.height;
cv::Mat cvMat(rows, cols, CV_8UC1); // 8 bits per component, 1 channels
CGContextRef contextRef = CGBitmapContextCreate(cvMat.data, // Pointer to 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), image.CGImage);
CGContextRelease(contextRef);
//Print image matrix
cout << cvMat;
}
然後在我的Viewcontroller.swift代碼
我這樣調用
import UIKit
class ViewController: UIViewController{
//MARK: Properties
@IBOutlet weak var photoImageView: UIImageView!
override func viewDidLoad() {
super.viewDidLoad()
override func didReceiveMemoryWarning() {
super.didReceiveMemoryWarning()
// Dispose of any resources that can be recreated.
}
@IBAction func getCoordinates(_ sender: UIButton) {
let opencvwrapper = OpenCVWrapper()
opencvwrapper.getPixelIntensity(photoImageView.image)
}
}