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Our previous work on electronic nose (E-nose) could effectively detect several major foodborne pathogens, which was based on principle component analysis (PCA) and cluster analysis (CA) method. But these methods could not identify two strains of Listeria Monocytogenes, which had the serotypes of 4b and 4c respectively. To resolve this problem, we proposed artificial neural network method which could...
This paper presents the image recognition comparison between the proposed HDM (Hybrid Differential Method) and the commonly accepted PCA method. Both methods are applied to search a specific image from a bigger target picture. The results show that HDM has multiple advantages over PCA when applied to image searching, like considerably less time consumed, better recognition rate when the background...
This paper presents a new method based on template recognition and fuzzy recognization. HDM (Hybrid Differential Method) is used to locate the teeth area from a face image, and fuzzy recognition is used to decide if a new teeth image belongs to the face image. 5-6 times of training is done to build up teeth feature set. A relative simple tooth feature-the lower part width of central incisor and their...
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