Level set contour textures
ثبت نشده
چکیده
Traditional texture mapping uses sampled images of limited resolution to represent patterns on surfaces. Sampling inherently assumes that the underlying pattern is band limited, which in plain language means that it must not contain any crisp edges. Unfortunately, most real world patterns violate that constraint, and the result is that texture mapped surfaces appear either artificially pixelated or blurred when viewed up close. Thresholding after interpolation can reduce some defects, but the fundamental problem persists: sampled images are not well suited to reproduce curved contours with crisp edges.
منابع مشابه
A Level-Set and Gabor-based Active Contour Algorithm for Segmenting Textured Images
This paper applies the authors’ previously proposed vector valued active contour without edges model to segment textured images. The model uses a level set implementation and can detect edges without the use of gradient information, making it natural for use in textured image segmentation. Multiple Gabor transforms of the original image are used to discriminate textures. We show numerical resul...
متن کاملFinding Spatio-Temporal Contour of Moving Objects
though it could locate precise cor~tours in a st,atic image with simple textures[;], i ts effectiveness t o real world pictures with This paper describes a new algorithm to find the complicated textures and nllrnc,rous contour candidates has contour of a moving object. A distinctive feature not been confirmed. of this algorithm exists in its bottom-up architecture throughout low-level and inter...
متن کاملFast Texture Segmentation Based on Semi-Local Region Descriptor and Active Contour
In this paper, we present an efficient approach for unsupervised segmentation of natural and textural images based on the extraction of image features and a fast active contour segmentation model. We address the problem of textures where neither the gray-level information nor the boundary information is adequate for object extraction. This is often the case of natural images composed of both ho...
متن کاملBimodal Texture Segmentation with the Lee-Seo Model
This paper presents a novel approach to bimodal texture segmentation. The proposed approach features a local binary pattern-based scheme to transform bimodal textures into bimodal gray-scale intensities, segmentable by the Lee-Seo active contour model. This process avoids the iterative calculation of active contour equation terms derived from textural feature vectors, thus reducing the associat...
متن کاملBidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task
In cognitive neuroscience, extracting characteristic textures and features from functional imaging modalities which could be useful in identifying particular cognitive states across different conditions is still an important field of study. This paper explores the potential of two-dimensional ensemble empirical mode decomposition (2DEEMD) to extract such textures, so-called bidimensional intrin...
متن کامل