A natural approach in image processing and pattern recognition: Rotating neighbourhood technique, self-adapting threshold, segmentation and shape recognition
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摘要
Sentence description of objects are utilized in the model. The description is transformable into graphs. Fast shape coding is accomplished by an operator translated along linear objects or contours. A separate node of a graph is obtained for each new position of the operator. After a reduction, the graph is equivalent to a sentence describing an object. A technique incorporating a rotating neighbourhood is introduced and utilized for image enhancement and texture derivation. The technique preserves edges of objects. A threshold which adapts itself to an unknown noise level and image segmentation into individual objects are also presented. All the methods discussed satisfy the basic condition on representing images.
论文关键词:Pattern recognition,Image processing,Shape coding,Image segmentation,Enhancements,Thresholding,Texture derivation,Tracking,Filling,Identification
论文评审过程:Received 19 April 1982, Revised 10 January 1985, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(85)90022-6