Inscrutable
发表于 2025-3-23 13:00:57
Hiroyuki Takeshima,Yukichi Manoerarchical constraint process. Thus, we propose: a shape grammar formalism which accounts for most aspects of 2-D shape, a parsing mechanism which uses constraints between pieces of the shape, and an automatic method to compute constraint relations between the vocabulary symbols of the shape grammar.
干旱
发表于 2025-3-23 15:20:02
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enhance
发表于 2025-3-23 18:27:13
A Model of the Receptive Fields of Mammal Visiond to have an homogeneous distribution of retinal ganglion receptive fields. A simple transformation allows to model complex and hypercomp lex cells. Called a “synoptical heptarchy”, this set of transforms explains a number of features of the receptive fields: symmetry, orientation, spatial frequency characteristics, and complexity.
MOTTO
发表于 2025-3-23 22:57:55
Image Texture Analysis Techniques - A Surveys mostly rely on edges as local features and include Marr’s primal sketch model and a generalization of cooccurrence matrices. Region-based models include a region-growing model and a topographic model which treats the texture image as a digital terrain model.
Baffle
发表于 2025-3-24 05:03:11
Texture Features in Remote Sensing Imageryregarded as a “spectral-spatial” information pair. It seems indeed obvious that texture is going to assume an ever increasing importance as spatial resolution of satellite imagery becomes more and more precise.
淡紫色花
发表于 2025-3-24 10:18:52
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爱了吗
发表于 2025-3-24 12:35:50
Segmentation by Shape Discrimination Using Spatial Filtering Techniquesmachine for implementing the multi-valued operators. A form of spatial filtering is explained and its application to shape discrimination and image segmentation is shown. Finally, an application to a real image processing problem is illustrated.
疏远天际
发表于 2025-3-24 17:59:42
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哥哥喷涌而出
发表于 2025-3-24 19:10:40
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Diuretic
发表于 2025-3-25 01:51:46
Conference proceedings 1981rs presented at the Institute. The book is divided in four sections: Issue.s-, of general interest. Some topics are broader than the proper techniques of image processing, such as complexity, clustering, topology, physiology; but they may be of interest ... Feature detect‘ion and evaluation. The fir