By using a generalized Sylvester equation based parametrization, three minimum norm robust pole assignment problems for descriptor systems are formulated as unconstrained minimization problems for suitably chosen cost functions. The derived explicit expressions of the gradients of the cost functions allow the efficient solution of the minimization problems by using powerful gradient search base...

In this thesis we consider in general image structures and more specifically, image gradients and contours. They have been proven useful in recent years for various computer graphics applications, such as Augmented Reality (AR), image and video stylization. The goal of analyzing image structures is to describe a high level understanding of image contents and to provide a powerful support to imp...

In this thesis we consider in general image structures and more specifically, image gradients and contours. They have been proven useful in recent years for various computer graphics applications, such as Augmented Reality (AR), image and video stylization. The goal of analyzing image structures is to describe a high level understanding of image contents and to provide a powerful support to imp...

Bush encroachment is a form of land degradation prominent worldwide, but particularly present in semi-arid areas. In this study, we mapped the spatial distribution of the two encroacher species, Acacia mellifera and Acacia reficiens, in Central Namibia, based on their different phenological behavior. We used constrained principal curves to extract a one dimensional gradient of phenological chan...

In this paper we have presented a method for fusing 2D images using wavelet transform under the combine gradient and smoothness criterion. The usefulness of the method had been illustrated using various experimental image pairs such as multifocus, multi-sensor satellite image and CT and MR images of cross-section of human brain. The result of the proposed method have been compared with that of ...

Nowadays, image classification is one of the hottest and most difficult research domains. It involves two aspects of problem. One is image feature representation and coding, the other is the usage of classifier. For better accuracy and running efficiency of high dimension characteristics circumstance in image classification, this paper proposes a novel framework for multi-class image classifica...

Let f be a Morse function on a closed manifold M , and v be a Riemannian gradient of f satisfying the transversality condition. The classical construction (due to Morse, Smale, Thom, Witten), based on the counting of flow lines joining critical points of the function f associates to these data the Morse complex M * (f, v). In the present paper we introduce a new class of vector fields (f-gradie...

Removal of noise uses various natural image priors, including gradient based, sparse representationbased and nonlocal self similarity-based ones. The existing denoising algorithm tends to smooth the fine scale image textures, when removing noise, it degrades the image visual quality. To address this problem, a texture enhanced image denoising method is introduced. As a result, the gradient hist...

Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images. Due to the limited amount of data and information retrieved from low-resolution images, it is difficult to restore clear, artifact-free images, while still preserving eno...

A new method of threshold and gradient optimization using class uncertainty theory and its quantitative analysisA new method of threshold and gradient optimization using class uncertainty theory and its quantitative analysis." MS as my friends and seniors. Special thanks to Lu Bi for her help on my work and my daily life. In the end, I want to thanks all the faculties, staffs and students at II...