A scale-adaptive extension to methods based on LBP using scale-normalized laplacian of gaussian extrema in scale-space. Proc ICASSP. 2014; p. 4352–6.Hegenbart S, Uhl A. 2014. A scale-adaptive extension to methods based on LBP using scale-normalized Laplacian of Gaussian extrema in scale...
Learn more about the MetalPerformanceShaders.MPSImageNormalizedHistogram in the MetalPerformanceShaders namespace.
Non-uniform Motion Deblurring Using Normalized Hyper Laplacian Priordirection-of-arrival estimationmatrix algebraspeech processingCRCMGaussian source signalsSRP estimatorcopula rank correlation matrixcopula-based source DOA estimatordirection-of-arrival estimation...
subset.append(i_star)# remove i_star from candidate indices.candidate_ids.remove(i_star) k +=1# Expose labels_ which are the assignments of# the training data to clusters.self.labels_ = self._get_cluster_ics(pdists, subset)# Expose cluster centers, i.e. medoids.self.cluster_centers_ ...
convolution with the Gaussian kernel; (2) determining the local characteristic scale of every pixel by a local extremum over scale of normalized derivatives; (3) deriving the local characteristic scale histogram and determining the characteristic scale of satellite image based on maximum of this ...
NSS features based on the gradient magnitude and Laplacian of Gaussian are used for SQA; The impact of the spectrogram window size is investigated in detail to assess the optimum window size and percentage of signal overlap. The remainder of the paper is organized as follows. In Section 2, we...
Different high pass filters, including the Box filter, Gaussian and Laplacian, can be applied in HPF, and the Box filter is chosen in this paper [46]. 3.2.4. ATWT Similarly to HPF, ATWT is also based on multi-resolution analysis [34]. For ATWT, the original multispectral bands are ...