Proceedings ArticleDOI
Texture Classification Using The Hough Transform
G. Eichmann,Takis Kasparis +1 more
- Vol. 0638, pp 46-54
TLDR
A new approach based on the Hough method of line detection is introduced,based on the relative orientation and location of the lines within the texture, which classifies periodic textures that consist of mostly straight lines.Abstract:
Texture is one of the important image characteristics and is used to identify objects or regions of interest The problem of texture classification has been widely studied Some texture classification approaches use Fourier power-spectrum features, while others are based on first and second-order statistics of gray level differences Periodic textures that consist of mostly straight lines are of particular interest In this paper, a new approach based on the Hough method of line detection is introduced This classification is based on the relative orientation and location of the lines within the texture Experimental results will also be presentedread more
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.
Journal ArticleDOI
Use of the Hough transformation to detect lines and curves in pictures
Richard O. Duda,Peter E. Hart +1 more
TL;DR: It is pointed out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further, and how the method can be used for more general curve fitting.
Journal ArticleDOI
Texture analysis using gray level run lengths
TL;DR: In this paper, a set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a sets of samples representing nine terrain types.
Texture analysis using grey level run lengths
TL;DR: A set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a set of samples representing nine terrain types.
Journal ArticleDOI
Edge and Curve Detection for Visual Scene Analysis
Azriel Rosenfeld,M. Thurston +1 more
TL;DR: Simple sets of parallel operations are described which can be used to detect texture edges, "spots," and "streaks" in digitized pictures and it is shown that a composite output is constructed in which edges between differently textured regions are detected, and isolated objects are also detected, but the objects composing the textures are ignored.