Texture Measures for Carpet Wear Assessment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture analysis and discrimination in additive noise
Computer Vision, Graphics, and Image Processing
International Journal of Computer Vision
Graphical Models and Image Processing
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing illumination-invariant descriptors of spatially filtered color image regions
IEEE Transactions on Image Processing
Unsupervised texture segmentation of images using tuned matched Gabor filters
IEEE Transactions on Image Processing
Product quality on-line inspecting for the pressed protuberant character on a metal tag
Image and Vision Computing
Defect detection in random colour textures using the MIA t2 defect maps
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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In this paper, we present a correlation scheme that incorporates a color ring-projection representation for the automatic inspection of defects in textured surfaces. The proposed color ring projection transforms a 2-D color image into a 1-D color pattern as a function of radius. For a search window of width W, data dimensionality is reduced from O(W2) in the 2-D image to O(W) in the 1-D ring-projection space. The complexity of computing a correlation function is significantly reduced accordingly. Since the color ring-projection representation is invariant to rotation, the proposed method can be applied for both isotropic and oriented textures at arbitrary orientations. Experiments on regular textured surfaces have shown the efficacy of the proposed method.