浅析几部国产电影中女性角色

2000年后,中国的电影市场逐渐繁荣。在众多的中国电影中,女性角色呈现出两种截然不同的样式：一种是呈现女性的优秀品质,另一种则是女性主义一直所反对的,将女性塑造成社会畸变的产物以吸引男性的眼光。本文通过对《非诚勿扰》、《女人不坏》、《白银帝国》、《十分完美》、《花木兰》等五部电影里的女性角色进行分析,从女性主义电影的角度将中国电影对女性角色的两极分化呈现做一个说明。     

GVF Snake模型在木材表面缺陷分割的应用研究

针对木材表面存在纹理、凹凸结构、边缘颗粒和弱边缘等特点,对其直接运用Snake模型进行分割难以得到有效边缘提取,因此提出运用改进的GVF Snake模型和维纳滤波相结合对其进行分割。首先对木材图像进行维纳滤波使得纹理变得平缓,同时可以使得缺陷边缘得到有效保留,再对其进行GVF Snake模型分割。该算法对初始轮廓的选择敏感度降低,拓展性增强,可以使得轮廓曲线更加快速地收敛到缺陷边缘,避免陷入局部最优现象,提高对弱边缘和凹凸图像分割效果,分割结果更加清晰、连贯,具有良好的实时性。为木材表面缺陷的分割提供一种更为有效的方法,拓宽了snake模型的应用范围。     

数字图像处理技术在木材微观结构研究中的应用概况

对木材微观结构的研究始终是木质材料学发展的难点，数字图像处理技术的引入不仅带来了对此问题的高效解决方案，更展示出了广阔的研究前景，分析并总结了国内外该项技术在木材微观结构研究中的进展和应用。     

Comparison of nuclear morphometric parameters in cytologic smears and histologic sections of spontaneous canine tumors

Background — Nuclear morphometry may provide useful diagnostic and prognostic information for neoplasms in animals. Most available data have been obtained from histologic sections. Nuclear morphometry of cytologic smears may provide important pre-operative information.
Objectives — The goal of this study was to compare nuclear morphometric parameters in cytologic smears and histologic sections from spontaneous canine tumors.
Methods — Mean nuclear area (MNA), mean nuclear perimeter (MNP), mean nuclear form factor (FF; nuclear perimeter²/4π nuclear area) and their respective SDs were assessed by image analysis of both hematoxylin and eosin-stained histologic sections and May-Grünwald-Giemsa-stained cytologic smears from the same case in 20 spontaneous canine tumors of different histogenesis. The above parameters were selected as being the best morphometric tools for measuring variation in shape and size in cells after neoplastic transformation. Data were compared by ANOVA with P<.01 considered significant.
Results — There was a significant difference between histologic and cytologic specimens for MNA, MNP, and their SDs. Only the differences between FF and the SD of FF were not statistically significant.
Conclusions — Only nuclear morphometric data related to nuclear shape and nuclear shape variability are comparable between histologic and cytologic specimens. Nuclear area and perimeter may be affected by the different fixation and smear preparation techniques used in histology and cytology.     

Estimation of the carcass composition from a cross-section of the rib-loin from crossbred Japanese Black × Limousin F2 cattle by computer image analysis

The carcass composition of crossbred Japanese Black × Limousin F2 cattle was examined in order to find an accurate carcass composition equation. The test animals included 17 steers and 17 heifers. The 28 image measurements from the area encircling the vertical line to the thoracic vertebra and the line from the thoracic vertebra between the sixth and seventh rib‐bones were measured by computer image analysis. The relationships between the 29 parameters that added the carcass left side weight of the animal and the carcass composition were suggested. The carcass composition included muscle weight, muscle ratio, fat weight and fat ratio. The carcass composition from steers was estimated by an equation composed of these three or four parameters (R² = 90.80%, 79.30%, 90.75% and 73.70%, respectively). The selected parameters were measured without cutting the thoracic vertebra. The carcass composition from heifers was estimated by an equation composed of two to four parameters (R² = 96.15%, 90.98%, 93.60% and 88.22%, respectively). The parameters for the estimation of the muscle and fat weight, and muscle and fat ratio are very similar. Furthermore, the equations using the parameters could estimate the carcass composition from the Japanese Black × Limousin cattle resource population.     

用小波系数估计图像边缘方向的相干增强扩散图像降噪算法

在分析相干增强扩散方法和小波阈值收缩方法之间关系的基础上,给出了相干增强扩散在小波分析意义下的解释,同时解释了相干增强扩散方法与小波阈值收缩方法在图像性质上的等价性。针对相干增强扩散计算扩散矩阵较慢的缺点,提出了一种用小波系数估计图像边缘方向的相干增强扩散图像降噪算法。仿真试验结果表明,该扩散算子可以很好地定位图像边缘,较好地运用了小波的时频分析功能。     

基于目标像素变化的柚果单目测距算法

针对山地果园光线变化和枝叶遮挡干扰果实距离检测的问题,该研究提出一种利用目标区域像素数量变化预测成像距离的算法。根据单目测距原理和柚果成像特性,以具备尺寸和形状代表性的离树柚果样本为研究对象,在采摘作业距离范围内利用单一相机以固定间隔步距对果实某一侧面连续获取图像数据,用以建立并验证目标区域像素数量变化与成像距离变化之间的多元回归关系。随后将该算法应用于果园中树上柚果样本以检验其适用性,并讨论初始成像距离和步距取值对测距精度的影响。研究结果表明,在125 cm以内,6个树上柚果样本的测距相对误差均低于5%,满足采摘机械手目标定位的精度要求;初始成像距离对该算法测距精度具有显著影响。该研究单目测距算法满足果园环境中柚果目标与相机间距离检测需求,为相关采摘机械手的柚果目标识别提供了一种可行方案。     

The use of digital image analysis and real‐time PCR fine‐tunes bioassays for quantification of Cercospora leaf spot disease in sugar beet breeding

Cercospora leaf spot, caused by the fungus Cercospora beticola, is a major fungal sugar beet disease worldwide and the cause of significant yield losses. The disease is most successfully countered by the introduction of genetic tolerance into elite sugar beet hybrids. To this end, breeding programmes require high quality biological assays allowing discrimination of minor differences between plants within a segregating population. This study describes the successful implementation of image analysis software in the bioassays for quantification of necrotic lesions at different stages of C. beticola infection, allowing selection on minor phenotypic differences during the sugar beet breeding process for C. beticola resistance. In addition, a real‐time PCR assay was developed for the quantification of C. beticola pathogen biomass in infected beet canopy. The use of both techniques, even in an early stage of infection, fine‐tunes current bioassays, allowing more accurate and efficient selection of resistant breeding material.     

用遥感影像提取大别山区水稻种植面积——以Landsat 8为例

本研究选取安徽省安庆市大别山为研究区,包括太湖县、岳西县、宿松县和潜山县,选取2016年和2017年的6景Landsat 8卫星遥感影像,通过遥感影像提取水稻种植面积,分析大别山区的水稻种植面积分布,并对研究区域的水稻种植面积进行动态实时监测。用遥感解译方法分别提取了研究区内的晚稻种植面积,并利用随机点验证和Kappa系数验证结果精度。结果表明:2017年和2016年水稻种植面积的提取精度分别为93.44%、93.78%,Kappa系数分别为0.86、0.83,证明水稻提取效果精确;对比研究区域各个县内的2017年和2016年晚稻种植面积,发现安庆市大别山区太湖县、潜山县、岳西县的水稻种植面积变化率均在5%以内,属于正常变化,由于2016年宿松县遭遇了水灾,部分农田被淹没,故宿松县2017年水稻种植面积相比2016年增加了13.01%;对比传统的农作物种植面积统计方法,利用遥感的方法更省人力、物力、财力,并且能精确、快速地实现对农作物的实时动态监测。     

利用显著图构建注意力深度网络检测诱虫板蔬菜害虫

为提高诱虫板图像蔬菜害虫检测精度,针对背景区域容易导致误检的问题基于显著图分析技术构建了一种注意力深度网络害虫智能视觉检测方法。首先通过显著图筛选出粗候选区域;然后在粗候选区域内用全卷积神经网络精选出细候选区域;接着用神经网络分类器识别细候选区域害虫种类,得到含有冗余的若干检测框;最后用改进的非极大值抑制消除冗余检测框,实现诱虫板图像中目标害虫的检测。针对小菜蛾和瓜实蝇展开试验,获得86.40%的平均精度均值和0.111只的平均绝对计数误差均值,所提方法平均精度均值比Faster R-CNN和YOLOv4分别高2.74和1.56个百分点,平均绝对计数误差均值比Faster R-CNN和YOLOv4分别低0.006和0.003只;同时,消融试验中移除显著图注意力模块后平均精度均值下降了4个百分点、平均绝对计数误差均值增加了0.207只。试验结果表明,所提方法有效提高了诱虫板图像蔬菜害虫检测精度,其中,引入显著图注意力模块对提升检测精度有重要作用。