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A homological multi-information fusion method for processing gastric tumor tissue pathological images 被引量:1

A homological multi-information fusion method for processing gastric tumor tissue pathological images
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摘要 A homological multi-information image fusion method was introduced for recognition of the gastric tumor pathological tissue images.The main purpose is that fewer procedures are used to provide more information and the result images could be easier to be understood than any other methods.First,multi-scale wavelet transform was used to extract edge feature,and then watershed morphology was used to form multi-threshold grayscale contours.The research laid emphasis upon the homological tissue image fusion based on extended Bayesian algorithm,which fusion result images of linear weighted algorithm was used to compare with the ones of extended Bayesian algorithm.The final fusion images are shown in Fig 5.The final image evaluation was made by information entropy,information correlativity and statistics methods.It is indicated that this method has more advantages for clinical application. A homological multi-information image fusion method was introduced for recognition of the gastric tumor pathological tissue images. The main purpose is that fewer procedures are used to provide more information and the result images could be easier to be understood than any other methods. First, multi-scale wavelet transform was used to extract edge feature,and then watershed morphology was used to form multi threshold grayscale contours. The research laid emphasis upon the homological tissue image fusion based on extended Bayesian algorithm ,which fusion result images of linear weighted algorithm was used to compare with the ones of extended Bayesian algorithm. The final fusion images are shown in Fig 5. The final image evaluation was made by information entropy,information correlativity and statistics meth- ods. It is indicated that this method has more advantages for clinical application.
出处 《Journal of Medical Colleges of PLA(China)》 CAS 2005年第5期285-293,共9页 中国人民解放军军医大学学报(英文版)
基金 Supported by the National Science Foundation of China(No.30370403 )
关键词 homological multi-information pathological tissue images wavelet transform watershed morphology image fusion 胃肿瘤 同源细胞 肿瘤组织 病理机制
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