波长快速扫描系统在算力网络、5G前传网络以及新一代可重构光分插复用系统等领域起着重要作用,整个波长扫描测试系统的性能基本取决于激光器性能的优劣。为此,基于In Ga As P/In P增益芯片优异的宽光谱光学特性和Littman-Metcalf外腔反...波长快速扫描系统在算力网络、5G前传网络以及新一代可重构光分插复用系统等领域起着重要作用,整个波长扫描测试系统的性能基本取决于激光器性能的优劣。为此,基于In Ga As P/In P增益芯片优异的宽光谱光学特性和Littman-Metcalf外腔反馈原理研制了一台具备宽调谐范围、高扫描速度以及无模式跳变等特点的可调谐激光器。实验上获得了240 nm/s的最高扫描速度、0.001 nm的最小步进触发间隔、优于±1.3 pm/1 min的波长稳定性、优于2.39 pm的绝对波长精度、优于±0.02 d B/1 min的功率稳定性及无跳模范围为110 nm的单纵模扫频输出。该研究有助于推动波长快速扫描测试系统的研究进程,提升波分复用等器件的测试精度和效率。展开更多
In this paper, we attempt to resolve the problem of grading of brain tumors as grade 2, grade 3, grade 4, using information from magnetic resonance spectroscopy (MRS) image, to assist in clinical diagnosis. This paper...In this paper, we attempt to resolve the problem of grading of brain tumors as grade 2, grade 3, grade 4, using information from magnetic resonance spectroscopy (MRS) image, to assist in clinical diagnosis. This paper proposes a novel approach to extract metabolite values represented in a graphical form in MR Spectroscopy image. Metabolites like N-acetyl aspartate (NAA), Choline (CHO) along with the metabolite ratios NAA/CHO and presence/absence of LACTATE peak play the most important role in deciding the tumor type. The proposed approach consists of several steps including preprocessing, metabolite peak height scanning and classification. Proposed system stores the metabolite values in dataset instead of storing MRS images;so reduces the image processing tasks and memory requirements. Further these metabolite values and ratios are fed to a BPN classifier. Experimental results demonstrate the effectiveness of the proposed approach in classifying the brain tumors.展开更多
As the development of machine vision technology, the color line-scan system is widely applied in the on-line inspection. Due to the non-uniform gray scale and color distortion of the image acquired by the system, the ...As the development of machine vision technology, the color line-scan system is widely applied in the on-line inspection. Due to the non-uniform gray scale and color distortion of the image acquired by the system, the image correction is needed to reduce the problem of image processing and the stability system. Based on reasons mentioned above, a method that using polynomial fitting to correct the image is presented to solve the problem in this paper. The method has been used in the automatic optical inspection of PCB, and has been proved to be effective. So this method will have a potential application to the development of the color line-scan machine vision system.展开更多
文摘波长快速扫描系统在算力网络、5G前传网络以及新一代可重构光分插复用系统等领域起着重要作用,整个波长扫描测试系统的性能基本取决于激光器性能的优劣。为此,基于In Ga As P/In P增益芯片优异的宽光谱光学特性和Littman-Metcalf外腔反馈原理研制了一台具备宽调谐范围、高扫描速度以及无模式跳变等特点的可调谐激光器。实验上获得了240 nm/s的最高扫描速度、0.001 nm的最小步进触发间隔、优于±1.3 pm/1 min的波长稳定性、优于2.39 pm的绝对波长精度、优于±0.02 d B/1 min的功率稳定性及无跳模范围为110 nm的单纵模扫频输出。该研究有助于推动波长快速扫描测试系统的研究进程,提升波分复用等器件的测试精度和效率。
文摘In this paper, we attempt to resolve the problem of grading of brain tumors as grade 2, grade 3, grade 4, using information from magnetic resonance spectroscopy (MRS) image, to assist in clinical diagnosis. This paper proposes a novel approach to extract metabolite values represented in a graphical form in MR Spectroscopy image. Metabolites like N-acetyl aspartate (NAA), Choline (CHO) along with the metabolite ratios NAA/CHO and presence/absence of LACTATE peak play the most important role in deciding the tumor type. The proposed approach consists of several steps including preprocessing, metabolite peak height scanning and classification. Proposed system stores the metabolite values in dataset instead of storing MRS images;so reduces the image processing tasks and memory requirements. Further these metabolite values and ratios are fed to a BPN classifier. Experimental results demonstrate the effectiveness of the proposed approach in classifying the brain tumors.
文摘As the development of machine vision technology, the color line-scan system is widely applied in the on-line inspection. Due to the non-uniform gray scale and color distortion of the image acquired by the system, the image correction is needed to reduce the problem of image processing and the stability system. Based on reasons mentioned above, a method that using polynomial fitting to correct the image is presented to solve the problem in this paper. The method has been used in the automatic optical inspection of PCB, and has been proved to be effective. So this method will have a potential application to the development of the color line-scan machine vision system.
