reference
API Reference › Batch Image Crop
batch_crop.cropGeometry.cropImage
Rotate and crop an image at a fixed pixel size.
Syntax
result = batch_crop.cropGeometry.cropImage(imageData, opts)Description
Adds optional padding, rotates the resulting canvas, and extracts a crop centered at a point expressed in the original image coordinate system. The crop always has the requested pixel dimensions. Areas outside the transformed canvas use the selected fill value. This function does not resize the crop, display graphics, or write files.
Inputs
imageData- Nonempty numeric or logical image. Accepted sizes are M-by-N and M-by-N-by-C. The output preserves its class and channel count.
opts- Scalar structure containing the crop options below.
Options
cropWidth- Required positive pixel count. Noninteger values are rounded.
cropHeight- Required positive pixel count. Noninteger values are rounded.
angleDeg- Counterclockwise canvas rotation in degrees. Default: 0.
centerXY- Crop center [x y] in original-image pixel coordinates, where x is the column and y is the row. Invalid or empty input selects the geometric image center. The center is limited so the requested crop remains representable on the prepared canvas. Default: [].
paddingPercent- Padding added around each source edge as a percentage of the corresponding source dimension. Negative values are treated as zero by the canvas preparation code. Default: 0.
fillValue- Scalar or channel-compatible value used outside the rotated image. Empty input selects the app's white value for imageData. Default: [].
Outputs
result- Scalar crop result structure. result.image is exactly cropHeight-by-cropWidth-by-C. result.centerX and centerY retain the effective center in original-image coordinates. rotationDeg, paddingPercent, sourceWidth, sourceHeight, cropWidth, cropHeight, nativeCropWidth, nativeCropHeight, outputWidth, and outputHeight describe the operation. scaleMode is "Pixels", ok is true, status is "cropped", and message is "OK".
Errors
labkit_BatchImageCrop_app:InvalidImage- imageData is empty, nonnumeric, nonlogical, or has more than three dimensions.
labkit_BatchImageCrop_app:InvalidCropSize- cropWidth or cropHeight is absent, nonfinite, nonscalar, or smaller than one.
Example
imageData = reshape(uint8(1:100), 10, 10);
opts = struct("cropWidth", 4, "cropHeight", 3, "centerXY", [5 6]);
result = batch_crop.cropGeometry.cropImage(imageData, opts);
assert(result.ok && isequal(size(result.image), [3 4]))Related APIs
batch_crop.cropGeometry.cropScaledImage— Crop one calibrated image to a common physical output scale.batch_crop.cropGeometry.scalePlan— Plan equal-size physical crops across calibrated images.
Source
This page is generated from the MATLAB help text in apps/image_measurement/batch_crop/+batch_crop/+cropGeometry/cropImage.m.