Object recognition has been a topic of research for decades,it operates by making decisions based on the values of several shape properties measured from an object's *** this paper,a new exploitation of the Radon ...
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Object recognition has been a topic of research for decades,it operates by making decisions based on the values of several shape properties measured from an object's *** this paper,a new exploitation of the Radon Transform(RT)is proposed to extract only one projection according to a single *** projection is chosen in way that contains the necessary information to recognize an object(a shape descriptor).This descriptor(called Rθ-signature)provides global information of a binary shape regardless its *** signature keeps fundamental geometrical transformation like scale,translation and *** experiment results on images base shows the efficient of our descriptor in the distinction between rectangular and no-rectangular forms,better than a previous signature based also on Radon transform called R-signature.
The multi-source information holds a great importance in processing complex and imprecise data. Unfortunately, it requires an adequate formalism capable to modelize and to fuse several information. The evidence theory...
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The multi-source information holds a great importance in processing complex and imprecise data. Unfortunately, it requires an adequate formalism capable to modelize and to fuse several information. The evidence theory distinguishes from all formalism by its capacity to modelize and treat imprecise and imperfect data. In this context, the high resolution images represent a huge amount of data and needs multi-source information to perform pattern recognition. In this paper, we present an adaption of the distance operator introduced by Denoeux for estimating belief functions. This proposed approach will be used to classify forest image remote sensing by identifying the tree crown classes.
Supervised classification is a spot/task of data mining which consists in building a classifier from a set of examples labeled by their class (learning step) and then predicting the class of new examples with a classi...
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An evaluation of the Alabama Smile Keeper Dental Health Education Program was necessary to determine if educating teachers to teach preventive dentistry improved the oral hygiene and knowledge of dental health of elem...
An evaluation of the Alabama Smile Keeper Dental Health Education Program was necessary to determine if educating teachers to teach preventive dentistry improved the oral hygiene and knowledge of dental health of elementary schoolchildren. Four hundred seventy-five students at the Maxwell Air Force Base elementary school in grades 1 through 6 were tested using a series of written examinations and scores from a plaque index (Greene's OHI-S Index) before and after the education program. Levels of plaque were significantly reduced immediately after instruction and retention test scores were significantly lower four months later than preinstruction test scores. Written examinations proved that knowledge increased immediately after instruction and retention test scores were significantly better than preinstruction test scores.
The value for archaeology of some available methods of numerical classification was investigated. Brooches from an Iron Age site in Switzerland (Münsingen) were chosen for analysis for two reasons: they show vari...
The value for archaeology of some available methods of numerical classification was investigated. Brooches from an Iron Age site in Switzerland (Münsingen) were chosen for analysis for two reasons: they show variation over a typically wide range of attributes, and their archaeological context, in rich associations in a horizontally stratified cemetery, provides independent evidence to check the significance of any proposed classifications. A further control on results was provided by an ‘intuitive’ classification of the brooches by professional archaeologists. The brooches were described numerically by quantitative and qualitative characters, and a similarity coefficient was computed between each pair. These coefficients were then submitted to two forms of cluster analysis (single- and average-link) and to a multi-dimensional scaling procedure. The average-link, but not the single-link, cluster analysis and the multi-dimemional scaling procedure were found to produce classifications of demonstrable archaeological significance.
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