基于灰度冗余图像融合增强研究

为了改善原图像直方图像素灰度分布集中于低灰度级,与经过常规直方图均衡化处理的图像直方图像素灰度分布集中于高灰度级且均具有灰度冗余的图像增强效果,提出了一种新的图像增强算法.对原始图像进行常规直方图均衡处理,并对原始图像与进行了常规直方图均衡处理的图像分别在尽可能大的范围内进行映射,使两者变换后都尽可能去除灰度冗余而有较大的动态范围.取变换后的两图像各自的优点,融合成一幅效果最好的图像.实验结果验证了理论分析的正确性.     

A corrected method of distorted printed circuit board image

This paper proposes a corrected method of distorted image based on adaptive control. First, the adaptive control relationship of pixel point positions between distorted image and its corrected image is given by using polynomial fitting, thus control point pairs between the distorted image and its corrected image are found. Secondly, the value of both image distortion centre and polynomial coefficient is obtained with least square method, thus the relationship of each control point pairs is deduced. In the course of distortion image processing, the gray value of the corrected image is changed into integer with bilinear interpolation. Finally, the experiments are performed to correct two distorted printed circuit board images. The results are perfect and the mean square errors of residual error are tiny.     

基于快速模糊C均值聚类算法的红外图像分割

 针对模糊C均值(FCM)聚类图像分割需要预先知道类别数及计算量较大的问题,提出了新的快速FCM改进方法。首先,利用边缘信息进行邻域搜索得到种子像素;通过区域生长快速获得区域分割类别数和对应的聚类中心值,并将图像分成确定类别的区域和未确定类别的区域;最后利用所得的聚类中心值和 FCM算法对未确定类别区域进行聚类。实验证明,本文提出的改进方法大大减少了计算量,显著提高了图像分割速度,而且由于聚类考虑了相邻像素点的关系,图像分割结果能够清晰地保留目标轮廓,提高了图像分割的质量。     

高效液相色谱法同时测定罗汉果中的六种葫芦烷三萜类皂苷

建立了高效液相色谱测定罗汉果中罗汉果苷Ⅴ、罗汉果苷ⅣA、罗汉果苷Ⅲ、11-氧化罗汉果苷Ⅲ、罗汉果苷ⅡE和11-氧化罗汉果苷ⅡE等6种苷类化合物含量的方法。采用的色谱条件：ZORBAX SB-C18色谱柱(150 mm×4.6 mm, 5 μm);柱温30 ℃;以水(A相)和乙腈(B相)为流动相,梯度洗脱程序：0～3 min,20%B～30%B;3～8 min,30%B～35%B;8～9 min,35%B;流速0.8 mL/min;检测波长203 nm;进样量10 μL。结果表明,以上6种苷类化合物分别在0.04～1.0 mg/mL、0.011～0.68 mg/mL、0.010～0.80 mg/mL、0.0097～0.58 mg/mL、0.025～1.0 mg/mL、0.013～0.76 mg/mL范围内线性关系良好(r＞0.9991)。加标回收率依次为99.65%,101.6%,97.05%,103.1%,99.25%和103.0%;相对标准偏差分别为0.83%,3.1%,1.9%,3.3%,0.59%和2.0%。该方法简便、快速、准确,适用于罗汉果原材料及其制品中苷类化合物的检测和含量测定。