The paper presents a new method for enhancement of orthodontic images using the combination of two-dimensional data with different type of illumination and their processing using digital de-nosing and gradient image enhancement in the preliminary stage. The region growing method and the appropriate seed selection is then studied as an alternative to the distance and watershed transforms for the...

Texture gradient is a popular operation for extracting features used for content-based image retrieval (CBIR) of texture images. It is useful for depicting gradient magnitude and direction of adjacent pixels in an image. In this thesis, we proposed two methods for retrieving texture images. In the first method, discrete wavelet transform (DWT) and gradient operation were combined to extract fea...

Low-light images have low brightness and contrast, which bring huge obstacles to the intelligent video surveillance system. The enhancement of low-light must simultaneously consider interference factors such as brightness, artifacts, noise. To this end, in study, we propose a gradient prior-aided network (GPANet). main idea is improve network's ability extract edge features remove unwanted nois...

In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selec tecl to be tuned to texture components of the input image. In the proposed method segmentation is achieved by detecting boundaries between adjacent textured regions, and this segmentation algorithm works as follows. The input image is first filt...

ÐThis paper studies the recovery of shape from texture under perspective projection. We regard Shape from Texture as a statistical estimation problem, the texture being the realization of a stochastic process. We introduce warplets, which generalize wavelets over the 2D affine group. At fine scales, the warpogram of the image obeys a transport equation, called Texture Gradient Equation. In orde...

This paper presents a novel filtering-based method for decomposing an image into structures and textures. Unlike previous filtering algorithms, our method adaptively smooths image gradients to filter out textures from images. A new gradient operator, the interval gradient, is proposed for adaptive gradient smoothing. Using interval gradients, textures can be distinguished from structure edges a...