Dynamic Texture Segmentation Using Fourier Transform
نویسندگان
چکیده
Dynamic textures are temporally continuous and infinitely varying sequences of images with certain spatial and temporal stationarity properties and have many potential applications such as computer graphics, computer vision, animation, and computer games. These applications usually require dynamic texture segmentation that is not an easy task especially when the background is cluttered and textured. In this paper, we analyze the spatio-temporal slices of dynamic texture using Fourier analysis and then we propose a simple and efficient approach to dynamic texture segmentation using 3D Fourier transform. Experiments on several dynamic texture sequences show the effectiveness of the proposed approach.
منابع مشابه
Texture Analysis using the Multiresolution Fourier Transform
A new frequency domain approach to the analysis of texture is described. The method works by identifying, for pairs of texture `patches' of a given size, the a ne co-ordinate transformation which gives the best match between them. This allows the analysis to take account of the geometric warping which is typically found in images of natural textures. The scheme is implemented e ciently in the F...
متن کاملUnsupervised Texture Segmentation: Comparison of Texture Features
Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture. This paper aims at comparing texture features based on DFT (Discrete Fourier Transform) with ones based on Gabor wavelets for unsupervised image segmentation. The comparison is r...
متن کاملColour-Texture Image Segmentation using Hypercomplex Gabor Analysis
Texture analysis such as segmentation and classification plays a vital role in computer vision and pattern recognition and is widely applied to many areas such as industrial automation, bio-medical image processing and remote sensing. In this paper, we first extend the well-known Gabor filters to color images using a specific form of hypercomplex numbers known as quaternions. These filters are ...
متن کاملImage Characterization with Dft-based Complex Lapped Transform for Texture Segmentation
In this paper we generalize the lapped orthogonal transforms to include complex lter coeecients. We derive the perfect reconstruction conditions for this class of complex lapped transforms. A special discrete Fourier transform-based complex lapped transform (DCLT) is constructed which tends to provide a good mixture of locality and smoothness. In applying the DCLT to an image, a quadtree scan i...
متن کاملTexture Segmentation : Different Methods
69 Abstract—Image Segmentation is an important pixel base measurement of image processing, which often has a large impact on quantitative image analysis results. The texture is most important attribute in many image analysis or computer vision applications. The procedures developed for texture problem can be subdivided into four categories: structural approach, statistical approach, model based...
متن کامل