crop

I receive a bitmap via TCameraComponent.SampleBufferReady event. Then I need to crop the received image so that I get a, for instance, recangular image. I calculate the necessary parameters in the following method: procedure TPersonalF.SampleBufferReady(Sender: TObject; const ATime: TMediaTime); var BMP: TBitmap; X, Y, W, H: Word; begin Try BMP := TBitmap.Create; CameraComponent.SampleBufferToBitmap(BMP, true); if BMP.Width >= BMP.Height then //landscape begin W:=BMP.Height; H:=W; Y:=0; X:=trunc((BMP.Width-BMP.Height)/2); end else //portrait begin W:=BMP.Width; H:=W; X:=0; Y:=trunc((BMP.Height

The image can be anything. It can be jpg, png, anything. Load it. Crop it. Say removing first 100 pixels from the left. Save to the same file adatapost Use Graphics.DrawImage Method (Image, RectangleF, RectangleF, GraphicsUnit) method. Dim fileName = "C:\file.jpg" Dim CropRect As New Rectangle(100, 0, 100, 100) Dim OriginalImage = Image.FromFile(fileName) Dim CropImage = New Bitmap(CropRect.Width, CropRect.Height) Using grp = Graphics.FromImage(CropImage) grp.DrawImage(OriginalImage, New Rectangle(0, 0, CropRect.Width, CropRect.Height), CropRect, GraphicsUnit.Pixel) OriginalImage.Dispose()

I have read that it is automatic but it doesn't appear to be happening in my case. Using UIImagePickerController with allowsEditing set to YES I get my editing view with the crop square overlay, but when i am finished with the image its not cropped as I expect. Should it be automatic at this stage? If not, what might be a good solution to crop the image in the matching area that the default view provides? Thanks. You are probably using the wrong key for the info dictionary: UIImagePickerControllerOriginalImage . To get the cropped (yes, it is automatic) image you have to use

I've created a two-column grid of images, which works fine with all-landscape images: Link . However, I've added a portrait image that throws off the layout, so I'd like to be able to "crop" the image so that the height matches the others'. I tried using a negative margin , but it had no effect: .portrait-crop { overflow: hidden; } img.portrait-crop { margin-bottom: -30px; } I'm not sure what I'm doing wrong. Any help would be appreciated. For reference, this is my code . You need to put some height to the container also, if not, it doesn't know how much it should show of what it is inside.

public class ImageCroppMainActivity extends Activity implements OnClickListener{ final int CAMERA_CAPTURE = 1; //keep track of cropping intent final int PIC_CROP = 2; //captured picture uri private Uri picUri; final int PICK_IMAGE = 3; /** Called when the activity is first created. */ @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_image_cropp_main); //retrieve a reference to the UI button Button captureBtn = (Button)findViewById(R.id.capture_btn); //handle button clicks captureBtn.setOnClickListener(this); Button

I want to crop from an image using user-drawn rectangles on a canvas. The rectangles can be moved, re-sized, and rotated. When the user selects "Get Cropped Image", the area inside the rectangle should be saved in a second image location on the page, which I can do perfectly well, so long as the rectangle is not rotated. (Straight-forward use of CroppedBitmap.) However, when the rectangle is at an angle I do not know how to perform the crop. This is what I want to do (forgive my poor MS Paint skills): My questions are: 1) How do I correctly track or calculate the points of the rectangle? and,

I have a RGB image. I have scanned the image. So the image occupies a small portion of an A4 size sheet. I want to find the border of the image and crop it. I could use edge detection operators like 'Sobel' etc, but they detect all the edges present in the image. All I want is the border of the image. Also many of the edge detection functions including 'bwboundaries' work only with binary or grayscale images. My image is RGB. I tried using 'imcrop', but this is more of interactive cropping. I am keen on doing this automatically. Uploading a test image: Since this is an rgb image, there will be