Package qupath.opencv.tools

package qupath.opencv.tools

Additional processing methods for use with OpenCV Mats.

Related Packages

Package	Description
qupath.opencv	Detection plugins using OpenCV.
qupath.opencv.dnn	QuPath classes to use OpenCV's DNN module.
qupath.opencv.features	Classes for feature calculation using OpenCV.
qupath.opencv.io	Support for serializing and deserializing OpenCV objects.
qupath.opencv.ml	QuPath classes to apply machine learning to pixels and objects using OpenCV.
qupath.opencv.ops	Image operations, implemented with OpenCV.

Class	Description
GroovyCV	Category class for enhanced Groovy scripting with OpenCV.
Interpolation	Methods to help with requesting interpolated values.
LocalNormalization	Methods to normalize the local image intensity within an image, to have (approximately) zero mean and unit variance.
LocalNormalization.LocalNormalizationType	Helper class to store local normalization parameters.
LocalNormalization.NormalizationType	Local normalization type.
LocalNormalization.SmoothingScale	2D or 3D Gaussian scale.
MultiscaleFeatures	Calculate pixel-based features in both 2D and 3D.
MultiscaleFeatures.Hessian	Helper class for storing and computing pixel features from Hessian matrices.
MultiscaleFeatures.Hessian2D	Hessian matrix values for 2D images.
MultiscaleFeatures.Hessian3D	Hessian matrix values for 3D images (z-stacks).
MultiscaleFeatures.MultiscaleFeature	Image features, dependent on Gaussian scale.
MultiscaleFeatures.MultiscaleResultsBuilder	Helper-class for computing pixel-features at a specified scale.
MultiscaleFeatures.MultiscaleResultsBuilder.FeatureMap	Helper map implementation that provides access to MultiscaleFeatures.Hessian if needed.
NumpyTools	Read .npy and .npz files from NumPy.
OpenCVTools	Collection of static methods to help with using OpenCV from Java.
OpenCVTools.IndexedPixel	Class representing the indices of a pixel and its value.
ProcessingCV	Static methods to enable existing code for watershed transforms and morphological reconstruction to be applied to OpenCV images.
Thinning	Implementation of the 3D binary thinning algorithm of Lee et al.