In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold val...In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold value and the classification number is proposed based on the maximum entropy, and the self-adaptive criterion of the classification number is given. The algorithm can obtain thresholds and automatically decide the classification number. Experimental results show that the algorithm is effective.展开更多
自从分子生物学问世以来,医学微生物在许多方面的研究已迈进到分子生物学水平。现就肠道致病菌有关细菌分类,发病机理,实验室诊断和工程菌苗的构建等方面的分子生物学研究进展情况作一概述。一、细菌分类:通常根据形态,生化特性,血清学...自从分子生物学问世以来,医学微生物在许多方面的研究已迈进到分子生物学水平。现就肠道致病菌有关细菌分类,发病机理,实验室诊断和工程菌苗的构建等方面的分子生物学研究进展情况作一概述。一、细菌分类:通常根据形态,生化特性,血清学,免疫化学,抗菌谱及种、属特异性噬菌体裂解情况等来作为肠道细菌分类的指标。近十年来,电子计算机应用以后增加了数值分类法,另外在分类学上亦广泛应用了分子生物学的成就。如:1. DNA G+C 克分子百分含量测定:去氧核糖核酸(DNA)展开更多
文摘In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold value and the classification number is proposed based on the maximum entropy, and the self-adaptive criterion of the classification number is given. The algorithm can obtain thresholds and automatically decide the classification number. Experimental results show that the algorithm is effective.
文摘自从分子生物学问世以来,医学微生物在许多方面的研究已迈进到分子生物学水平。现就肠道致病菌有关细菌分类,发病机理,实验室诊断和工程菌苗的构建等方面的分子生物学研究进展情况作一概述。一、细菌分类:通常根据形态,生化特性,血清学,免疫化学,抗菌谱及种、属特异性噬菌体裂解情况等来作为肠道细菌分类的指标。近十年来,电子计算机应用以后增加了数值分类法,另外在分类学上亦广泛应用了分子生物学的成就。如:1. DNA G+C 克分子百分含量测定:去氧核糖核酸(DNA)