Namespace Emgu.CV.XImgproc
Classes
- DTFilter
Interface for realizations of Domain Transform filter.
- DisparityWLSFilter
Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.
- EdgeBoxes
Class implementing EdgeBoxes algorithm from C. Lawrence Zitnick and Piotr Dollár. Edge boxes: Locating object proposals from edges. In ECCV, 2014.
- EdgeDrawing
Class implementing the ED (EdgeDrawing)
- FastLineDetector
Class implementing the FLD (Fast Line Detector) algorithm
- GraphSegmentation
Graph Based Segmentation Algorithm. The class implements the algorithm described in Pedro F Felzenszwalb and Daniel P Huttenlocher. Efficient graph-based image segmentation. volume 59, pages 167 - 181. Springer, 2004.
- RFFeatureGetter
Helper class for training part of [P. Dollar and C. L. Zitnick. Structured Forests for Fast Edge Detection, 2013].
- RidgeDetectionFilter
Applies Ridge Detection Filter to an input image. Implements Ridge detection similar to the one in [Mathematica] (http://reference.wolfram.com/language/ref/RidgeFilter.html) using the eigen values from the Hessian Matrix of the input image using Sobel Derivatives. Additional refinement can be done using Skeletonization and Binarization.
- RightMatcher
The matcher for computing the right-view disparity map that is required in case of filtering with confidence.
- ScanSegment
Class implementing the F-DBSCAN (Accelerated superpixel image segmentation with a parallelized DBSCAN algorithm) superpixels algorithm by Loke SC, et al.
- SelectiveSearchSegmentation
Selective search segmentation algorithm The class implements the algorithm described in: Jasper RR Uijlings, Koen EA van de Sande, Theo Gevers, and Arnold WM Smeulders. Selective search for object recognition. International journal of computer vision, 104(2):154–171, 2013.
- StructuredEdgeDetection
Class implementing edge detection algorithm from Piotr Dollar and C Lawrence Zitnick. Structured forests for fast edge detection. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1841-1848. IEEE, 2013.
- SuperpixelLSC
Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in "Zhengqin Li and Jiansheng Chen. Superpixel segmentation using linear spectral clustering. June 2015."
- SupperpixelSEEDS
Class implementing the SEEDS (Superpixels Extracted via Energy-Driven Sampling) superpixels algorithm described in Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, and Luc Van Gool. Seeds: Superpixels extracted via energy-driven sampling. In Computer Vision-ECCV 2012, pages 13-26. Springer, 2012.
- SupperpixelSLIC
Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Susstrunk. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell., 34(11):2274-2282, nov 2012.
- XImgprocInvoke
Library to invoke XImgproc functions
Interfaces
- IDisparityFilter
Main interface for all disparity map filters.
Enums
- DTFilter.Mode
The three modes for filtering 2D signals in the article.
- DtFilterType
Domain Transform filter type
- LocalBinarizationMethods
LocalBinarizationMethods type
- SupperpixelSLIC.Algorithm
The algorithm to use
- ThinningTypes
Thinning type
- WMFWeightType
Weight type