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
Multi-feature texture analysis for the classification of carotid plaques
C.I. Christodoulou,Constantinos S. Pattichis,Marios Pantziaris,Thomas Tegos,Andrew N. Nicolaides,Tarek S. Elatrozy,Michael M. Sabetai,Surinder Dhanjil +7 more
TL;DR: A computer aided system which will facilitate the automated characterisation of carotid plaques recorded from high resolution ultrasound images for the identification of individuals with asymptomaticCarotid stenosis at risk of stroke is developed.
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Periocular Recognition by Detection of Local Symmetry Patterns
TL;DR: A new system for biometric recognition using periocular images that describes neighborhoods around key points by projection onto harmonic functions which estimates the presence of a series of various symmetric curve families around such key points, and evaluates an iris texture matcher.
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Autonomous safe landing of a vision guided helicopter
TL;DR: A vision-based system for safe autonomous landing of a helicopter-based Unmanned Aerial Vehicle (UAV) is presented that selects target areas from high resolution aerial or satellite images and gives feedbacks for control purposes.
Journal ArticleDOI
MITIS: a WWW-based medical system for managing and processing gynecological–obstetrical–radiological data
George K. Matsopoulos,Vassilis Kouloulias,Vassilis Kouloulias,Pantelis A. Asvestas,Nicolaos A. Mouravliansky,Konstantinos K. Delibasis,Damianos Demetriades +6 more
TL;DR: The MITIS system records all the necessary medical information in terms of patient data, examinations, and operations and provides the user-expert with advanced image processing tools for the manipulation, processing and storage of ultrasound and mammographic images.
Proceedings ArticleDOI
A solid texture analysis based on three-dimensional convolution kernels
TL;DR: Techniques for analyzing 3D volume data by using extended Laws' convolution kernels, which are well known for 2D texture analysis, and have been used for various pattern recognition applications are described.
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.