The response of the filter should be proportional to distance from the point to the boundary. We analyze a particular filter which has these properties, called the normalized Laplacian of Gaussian filter. Section 2 gives motivation and a mathematical description of the filter. The filter is ...
Later, Voorhees and Poggio [27] extended this concept to gray-level images by extracting blobs through a Laplacian of Gaussian. Further refinements were achieved by the preattentive computational model of Malik and Perona [28]. Since multichannel filtering methods gained popularity in the next years...
Following the random walk with restart model, in the paper, a new computational model based on Laplacian normalized random walk with restart algorithm in a heterogeneous network was proposed to predict the association between lncRNA and disease. Firstly, the disease semantic similarity (lncRNA functio...
Based on a new type of convolution... C Cai,SK Mitra - IEEE 被引量: 75发表: 2000年 Edge Characterization Using Normalized Edge Detector The behavior of the normalized gradient of the Gaussian edge operator is analyzed over many scales in one and two dimensions. A knowledge of the changes ...
Equivalently(thein)mummayberestrictedtoallopensubsetsAofMsuchthat∂A∩Misasmoothsubmanifoldofco-dimension1.ThisquantitywasintroducedbyCheeger[15]inordertoboundtheeigengapofthespectrumoftheLaplacianonamanifold.ACheegersetisasubsetA⊂Msuchthath(A;M)=H(M);thereisalwaysaCheegersetanditisuniqueundersomeconditions...
A Scale-Adaptive Extension to Methods based on LBP using Scale-Normalized Laplacian of Gaussian Extrema in Scale-Space. In: Proc. of the Intern. Conf. on Acoustics, Speech, and Signal Processing; 2014. p. 4352-4356.Hegenbart, S., Uhl, A.: A scale-adaptive extension to methods based on...
Gaussian source signalsSRP estimatorcopula rank correlation matrixcopula-based source DOA estimatordirection-of-arrival estimationmultielement microphone arrayNon-uniform motion deblurring is a hard topic for image processing. Non-uniform blur is often caused by camera motion in 3D while taking photos. ...
This short note aims at (re)proving that the symmetrically normalized graph Laplacian $L=\\Id - D^{-1/2}WD^{-1/2}$ (from a graph defined from a Gaussian weighting kernel on a sampled smooth manifold) converges towards the continuous Manifold Laplacian when the sampling become infinitely ...
For the detection of Early Blight in Potato Leaves, we will make use of the Image Segmentation Technique, based on Spectral Clustering, with Normalized Laplacian Cuts. The model works by segmenting, or rather segregating the affected part of the Potato leaf from the unaffected part, resulting in...
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 ...