Mathematical Models for Local Nontexture Inpaintings

Mathematical Models for Local Non - Textureinpaintingstony

Inspired by the recent work of Bertalmio, Sapiro, Caselles, and Ballester Technical report, ECE-University of Minnesota (1999)] on digital inpaintings, we develop general mathematical models for local non-texture inpaintings. Inside smooth regions, inpaintings are connected to the harmonic and bi-harmonic extensions, and inpainting orders are deened and analyzed. For in-paintings involving the ...

Image segmentation using local spectral histograms and linear regression

We present a novel method for segmenting images with texture and nontexture regions. Local spectral histograms are feature vectors consisting of histograms of chosen filter responses, which capture both texture and nontexture information. Based on the observation that the local spectral histogram of a pixel location can be approximated through a linear combination of the representative features...

Comparison of Texture Features Based on Gabor Filters

Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments, and grating cell operator features. The capability of the corresponding operators to produce distinct feature ...

Mathematical Programming Models for Solving Unequal-Sized Facilities Layout Problems - a Generic Search Method

 This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...

Euler's Elastica and Curvature Based Inpaintings