图像的边缘检测在实际生活中广泛应用,但其检测结果仍存在细节丢失问题。为此提出一种新的图像边缘检测算法。首先,采用二维二进制小波变换,对图像进行预处理;然后,结合一种新的自适应双阈值算法,检测出图像的边缘点;最后,采用改进的数...图像的边缘检测在实际生活中广泛应用,但其检测结果仍存在细节丢失问题。为此提出一种新的图像边缘检测算法。首先,采用二维二进制小波变换,对图像进行预处理;然后,结合一种新的自适应双阈值算法,检测出图像的边缘点;最后,采用改进的数学形态学梯度检测算法,对图像的边缘信息进行进一步检测。通过仿真实验得出,新算法能够检测到更丰富的图像边缘信息,使图像的边缘提取更清晰、细腻;与单一形态学算法相比,新算法使图像的均方误差值大幅度降低、峰值信噪比提高了2.3 d B。展开更多
The kinetics of the decomposition of dimethylhexane-1,6-dicarbamate to 1,6-hexamethylene diisocyanate was studied. A consecutive reaction model was established and the reaction orders for the two steps were confirmed ...The kinetics of the decomposition of dimethylhexane-1,6-dicarbamate to 1,6-hexamethylene diisocyanate was studied. A consecutive reaction model was established and the reaction orders for the two steps were confirmed to be 1 and 1.3 by the integral test method and the numerical differential method, respectively. The activation energies of the two steps were （56.94 4±5.90） kJ·mol^-1 and （72.07±3.47） kJ·mol^-1 with the frequency factors exp（ 12.53±1.42） min^- 1 and （ 14.254±0.84） tool^-0.33. L^0.33·min^-1, respectively. Based on the kinetic model obtained, the progress of the reaction can be calculated under given conditions.展开更多
Factorization of polynomials is one of the foundations of symbolic computation.Its applications arise in numerous branches of mathematics and other sciences.However,the present advanced programming languages such as C...Factorization of polynomials is one of the foundations of symbolic computation.Its applications arise in numerous branches of mathematics and other sciences.However,the present advanced programming languages such as C++ and J++,do not support symbolic computation directly.Hence,it leads to difficulties in applying factorization in engineering fields.In this paper,the authors present an algorithm which use numerical method to obtain exact factors of a bivariate polynomial with rational coefficients.The proposed method can be directly implemented in efficient programming language such C++ together with the GNU Multiple-Precision Library.In addition,the numerical computation part often only requires double precision and is easily parallelizable.展开更多
文摘图像的边缘检测在实际生活中广泛应用,但其检测结果仍存在细节丢失问题。为此提出一种新的图像边缘检测算法。首先,采用二维二进制小波变换,对图像进行预处理;然后,结合一种新的自适应双阈值算法,检测出图像的边缘点;最后,采用改进的数学形态学梯度检测算法,对图像的边缘信息进行进一步检测。通过仿真实验得出,新算法能够检测到更丰富的图像边缘信息,使图像的边缘提取更清晰、细腻;与单一形态学算法相比,新算法使图像的均方误差值大幅度降低、峰值信噪比提高了2.3 d B。
基金the National Key Technology R&D Program(2013BAC11B03)the Knowledge Innovation Fund of Chinese Academy of Science(KGCX2-YW-215-2)the National Natural Science Foundation of China(21476244)
文摘The kinetics of the decomposition of dimethylhexane-1,6-dicarbamate to 1,6-hexamethylene diisocyanate was studied. A consecutive reaction model was established and the reaction orders for the two steps were confirmed to be 1 and 1.3 by the integral test method and the numerical differential method, respectively. The activation energies of the two steps were （56.94 4±5.90） kJ·mol^-1 and （72.07±3.47） kJ·mol^-1 with the frequency factors exp（ 12.53±1.42） min^- 1 and （ 14.254±0.84） tool^-0.33. L^0.33·min^-1, respectively. Based on the kinetic model obtained, the progress of the reaction can be calculated under given conditions.
基金partly supported by the National Natural Science Foundation of China under Grant Nos.91118001 and 11170153the National Key Basic Research Project of China under Grant No.2011CB302400Chongqing Science and Technology Commission Project under Grant No.cstc2013jjys40001
文摘Factorization of polynomials is one of the foundations of symbolic computation.Its applications arise in numerous branches of mathematics and other sciences.However,the present advanced programming languages such as C++ and J++,do not support symbolic computation directly.Hence,it leads to difficulties in applying factorization in engineering fields.In this paper,the authors present an algorithm which use numerical method to obtain exact factors of a bivariate polynomial with rational coefficients.The proposed method can be directly implemented in efficient programming language such C++ together with the GNU Multiple-Precision Library.In addition,the numerical computation part often only requires double precision and is easily parallelizable.
