Proceedings ArticleDOI
Rapid Texture Identification
Kenneth I. Laws
- Vol. 0238, pp 376-381
TLDR
In this article, the texture energy approach requires only a few convolutions with small (typically 5x5) integer coefficient masks, followed by a moving-window absolute average operation.Abstract:
A method is presented for classifying each pixel of a textured image, and thus for segmenting the scene. The "texture energy" approach requires only a few convolutions with small (typically 5x5) integer coefficient masks, followed by a moving-window absolute average operation. Normalization by the local mean and standard deviation eliminates the need for histogram equalization. Rotation-invariance can also be achieved by using averages of the texture energy features. The convolution masks are separable, and can be implemented with 1-dimensional (vertical and horizontal) or multipass 3x3 convolutions. Special techniques permit rapid processing on general-purpose digital computers.read more
Citations
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Proceedings ArticleDOI
Texture segmentation using joint time frequency representation and unsupervised classifier
TL;DR: A new texture segmentation method based on joint time frequency representation and an unsupervised neural network classifier is proposed and some experimental results show that the presented method is efficient and robust especially in the case of natural texture.
Book ChapterDOI
Tongue image identification system on congestion of fungiform papillae (CFP)
TL;DR: This paper presents a novel computerized tongue inspection system for identifying the presence or absence of CFP images, and uses the Gabor filter banks and Bayesian Network to identify the texture blocks.
Proceedings ArticleDOI
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models
Michelle C. A. van Grinsven,Thom Scheeve,Ramon-Michel Schreuder,Fons van der Sommen,Erik J. Schoon +4 more
TL;DR: The proposed WASP model is the first automated system, competing with medical expert classification, and predicts more premalignant polyps−as being benign, compared to the automated WASP scheme.
Extraction of skeleton primitives on wavelets
TL;DR: A method for dominant skeleton extraction of textures using different wavelet transforms is proposed in this paper and a good classification of textures is made based on distance function of skeleton points.
Unsupervised font clustering using stochastic versio of the em algorithm and global texture analysis
TL;DR: An Unsupervised Font clustering technique is proposed in this work, based on global texture analysis, using high order statistic features, Gaussian classifier and a stochastic version of the EM algorithm.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
ReportDOI
Textured Image Segmentation
TL;DR: In this article, texture energy is measured by filtering with small masks, typically 5x5, then with a moving-window average of the absolute image values, leading to a simple class of texture energy transforms, which perform better than any of the preceding methods.