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
More filters
Journal ArticleDOI
Optimized multichannel filter bank with flat frequency response for texture segmentation
TL;DR: This paper presents two new texture segmentation algorithms based on multichannel filtering in conjunction with neural networks for feature extraction and segmentation and introduces two methods to optimize Gabor filter bank.
Journal ArticleDOI
Background characterization techniques for target detection using scene metrics and pattern recognition
TL;DR: This work applies statistical pattern recognition approaches to background clutter characterization for target detection and identification to evaluate a set of image metrics applied to infrared terrain clutter scenes.
Journal ArticleDOI
Texture classification using partial differential equation approach and wavelet transform
TL;DR: The proposed method uses wavelet transform to obtain the directional information of the image and the classification accuracy of the proposed method is evaluated using k-NN classifier.
Proceedings ArticleDOI
Skin condition detection of smartphone face image using multi-feature decision method
TL;DR: A system which can detect the skin condition such as wrinkles, skin pores and acnes on smartphone using multi-feature decision method based on Laws mask, Gabor filter and Kirsch filter is proposed.
Dissertation
An integrated index to detect the extent of myocardial infarction using echocardiographic texture analysis
TL;DR: The search for new materials for nanofiltration membranes for the recovery of phosphorous with a second type of technology for recovery of nitrogen is under way.
References
More filters
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.