An Analysis of the Black Cultural Images in Everyday Use

Everyday Use is one of the best novels by Alice Walker,who is a famous African American woman writer.It is also the typical work that can reveal the black's attitudes to their culture.In this work,house,fire and quilts are the black cultural images.The writer describes the phenomenon that African Americans hold different attitudes to their various cultural images which reveals the African American's living conditions under the diversified culture.

Automatic mapping of gully from satellite images using asymmetric non-local LinkNet: A case study in Northeast China

Gully erosion can lead to the destruction of farmland and the reduction in crop yield.Gully mapping from remote sensing images is critical for quickly obtaining the distribution of gullies at regional scales and arranging corresponding prevention and control measures.The narrow and irregular shapes and similar colors to the surrounding farmland make mapping erosion gullies in sloping farmland from remote sensing images challenging.To implement gully erosion mapping,we developed a small training samples-oriented lightweight deep leaning model,called asymmetric non-local LinkNet(ASNL-LinkNet).The ASNL-LinkNet integrates global context information through an asymmetric non-local operation and conducts multilayer feature fusion to improve the robustness of the extracted features.Experiment results show that the proposed ASNL-LinkNet achieves the best performance when compared with other deep learning methods.The quantitative evaluation results in the three test areas show that the F1-score of erosion gully recognition varies from 0.62 to 0.72.This study provides theoretical reference and practical guidance for monitoring erosion gullies on slope farmland in the black soil region of Northeast China.

Exploring Image Culture Through Narrative： A Study on Jennifer Egan＇s Twitter Fiction Black Box

Notable for the completeness with which it surrenders formally and artistically to the textual dictates of Twitter, Jennifer Egan＇s 2012 short science fiction Black Box is one of the most triumphant and fully-fledged fictions written in the form of new media. This paper explores the Twitter narrative employed in Black Box, pointing out that the serialized tweeting format of the story released via computer, mobile phone, or other electronic equipments brings readers immediate reading experience, allowing readers to sense the same feelings as the protagonist does. Through the experimental serialization of＂Twitter＂ narrative, Egan expresses her concerns and worries about the security of the American security as well as the whole world in the post-＂9.11＂ period and at the same time she embraces the virtues and pleasures of traditional storytelling delivered through a wholly new digital format. This paper concludes that Black Box is perhaps one of the boldest experiments of narrative form and is direct exploration into the contemporary image culture.

Analysis of the Image of the Black People in Gwendolyn Brooks's Poetry from the Perspective of Post-colonialism

Gwendolyn Brooks is one of the most significant American poets.She mainly depicts the ordinary black people and their daily lives,especially the complexity of the lives of the poor black people in her later poetry.This paper attempts to employ her several typical poems to explore the image of African-American black people from the perspective of post-colonialism.

Identification of Carbon Black in Military Textiles Using Infrared Imaging Techniques

The carbon black has been used in military fabrics to comply with the color requirements and infrared radiation lessening criteria. Currently, military industries don’t distinguish between fabrics with carbon black fibers or with carbon black into dyes or prints. The latter initially allows us to comply with the color specifications in the visible and infrared, but fabrics are degraded with use losing that initial capacity. The inclusion of carbon black in the fiber gets that the fabric doesn’t degrade with the wear, washed and dried, ensuring the accomplishment of the specifications all the time. The use of infrared imaging will allow us to define a method to discriminate those textiles with carbon black in their fibers from those which are dyed or printed.

基于Red-Black小波变换的多光谱图像融合方法

针对张量积小波在多光谱图像融合中的不足,提出了一种基于Red-B lack小波变换的多光谱图像和高空间分辨率全色图像融合方法。首先对多光谱图像进行IHS变换,将得到的亮度分量和高空间分辨率全色图像进行直方图匹配,并分别作多尺度Red-B lack小波分解,然后对低频部分采用加权平均、高频部分采用替代的融合算法对分解子图像进行融合,最后对融合后的各级子图像进行Red-B lack重构和IHS逆变换得到融合结果图像,采用客观性能指标对融合结果图像进行了评价。实验结果表明,该方法有较好的融合效果,其保持光谱质量和空间分辨率信息的能力比基于IHS变换融合方法、基于DWT的融合方法和基于IHS-DWT的融合方法都强。

Holographic images of an AdS black hole within the framework of f(R) gravity theory

Based on the AdS/CFT correspondence,this study employs an oscillating Gaussian source to numerically study the holographic images of an AdS black hole under f(R)gravity using wave optics.Due to the diffraction of scalar wave,it turns out that one can clearly observed the interference patten of the absolute amplitude of response function on the AdS boundary.Furthermore,it is observed that its peak increases with the f(R)parameterαbut decreases with the global monopoleη,frequencyω,and horizon r_(h).More importantly,the results reveal that the holographic Einstein ring is a series of concentric striped patterns for an observer at the North Pole and that their center is analogous to a Poisson-Arago spot.This ring can evolve into a luminosity-deformed ring or two light spots when the observer is at a different position.According to geometrical optics,it is true that the size of the brightest holographic ring is approximately equal to that of the photon sphere,and the two light spots correspond to clockwise and anticlockwise light rays.In addition,holographic images for different values of black holes and optical system parameters were obtained,and different features emerged.Finally,we conclude that the holographic rings of the AdS black hole in modified gravities are more suitable and helpful for testing the existence of a gravity dual for a given material.

Micromorphological Analysis of Soil Structure under No Tillage Management in the Black Soil Zone of Northeast China

The structure of the ＂black soil＂ in Northeast China has been greatly deteriorated by long-term intensive conventional mouldboard plow tillage （CT） practices. In this study, micro- morphological observation and image analysis of soil thin sections were conducted to evaluate the impacts of 21 years （1986-2007） of no tillage （NT） on soil structure as compared to CT in an experiment near Gongzhuling City, Jilin Province. Soil organic matter （SOM）, wet aggregate stability and saturated hydraulic conductivity （Ks） were also analyzed. Total SOM was not significantly affected by tillage systems, but fresher SOM was observed in the surface layer under NT. The aggregates under NT showed different hierarchies in the form of crumbs, and the mean weight diameter （MWD） of NT was significant higher than that of CT in the surface layer. Platy and blocky aggregates were frequently observed in the lower layers under CT practice. The compound pore structure with intertwined intra- and inter- aggregates pores under NT was well developed in a layer from 0-5 cm to 20-25 era. While under CT system, more inter-aggregate pores and fewer intra- aggregate pores were observed, and planes and channels were frequently found in the 20-25 cm layer, where maeroporosity decreased significantly and a plow pan was evident. The Ks values of NT weresignificantly lower at o-5 cm but significantly higher at 20-95 cm compared with CT, which showed the same trend with macroporosity. These results confirmed that long-term CT practice fragmented the tillage layer soil and compacted the lower layer soil and formed a plow pan. While long-term NT practice in the black soil region favored soil aggregation and a stable porous soil structure was formed, which are important to the water infiltration and prevent soil erosion.

基于双边滤波和Black-hat变换的OSTU裂缝分割算法

光照暗淡、污渍覆盖等原因会造成裂缝图像的裂缝难以被检测,对此文中提出了一种新的裂缝分割算法:该算法首先依次对图像进行基于彩色图的对比度拉伸、基于灰度图的改进高斯滤波的双边滤波处理,然后利用Black-hat变换和OTSU相结合进行裂缝分割。最后进行覆盖处理,用指定的颜色将二进制掩模叠加到原灰度图像上。实验结果表明,该算法在保留原有边界的同时,使得噪声得以有效去除,图像非裂缝信息得以很好抑制,裂缝可以显著突显。

一种基于Red-Black小波的图像融合的改进算法

为增加融合后图像信息量,增强图像清晰度,提出一种基于Red-Black小波图像融合的改进算法。该算法在对源图像进行Red-Black小波变换前,首先进行PCA变换,然后对得到的第一分量作多尺度的Red-Black小波分解,对于高频子带系数和低频子带系数分别采用基于极大值的选择和基于区域方差的融合规则。最后对融合后的各级子图像进行Red-Black重构,并对重构的结果进行PCA逆变换得到融合的图像。实验结果表明,提出的算法进行多光谱图像融合可以很好地保留光谱信息并且有较高的空间分辨率,提高了熵值,增加了融合后图像的信息量,扩大了信息丰富程度,也有效增强了图像的清晰度,具有较好的视觉效果,在遥感图像处理领域有较广泛的应用前景。

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning

Black fungus is a rare and dangerous mycology that usually affects the brain and lungs and could be life-threatening in diabetic cases.Recently,some COVID-19 survivors,especially those with co-morbid diseases,have been susceptible to black fungus.Therefore,recovered COVID-19 patients should seek medical support when they notice mucormycosis symptoms.This paper proposes a novel ensemble deep-learning model that includes three pre-trained models:reset(50),VGG(19),and Inception.Our approach is medically intuitive and efficient compared to the traditional deep learning models.An image dataset was aggregated from various resources and divided into two classes:a black fungus class and a skin infection class.To the best of our knowledge,our study is the first that is concerned with building black fungus detection models based on deep learning algorithms.The proposed approach can significantly improve the performance of the classification task and increase the generalization ability of such a binary classification task.According to the reported results,it has empirically achieved a sensitivity value of 0.9907,a specificity value of 0.9938,a precision value of 0.9938,and a negative predictive value of 0.9907.

茶叶智能化拼配匀堆除杂生产线控制系统设计

为提高红茶生产工艺水平和产能,通过变频器、PLC、触摸屏及IPC的电气集成,搭建了一套茶叶生产线分布式控制系统,完成了PLC控制程序、现场控制级触摸屏HMI和IPC监控软件的设计,实现了红茶生产线的全过程自动控制、实时数据采集、生产工艺参数设置、历史数据查询及故障自动报警等功能。该系统具有红茶生产线设备的管控一体化功能,满足了现场生产信息可视化监控的要求,智能化程度高,整体技术水平先进。

基于OpenCV的人脸黑头识别算法

目前越来越多的人受到人脸黑头问题的困扰,为了更加直观地看到人脸黑头的情况,基于OpenCV提出了一种智能识别黑头的算法,通过黑头仪设备获取到人脸照片,先通过灰度化,去噪滤波,图像增强算法对图像进行预处理改善图像质量,再进行自适应阈值二值化去除图像背景,获取到疑似黑头的特征,再根据黑头预设特征对疑似目标进行筛选得到最终识别为黑头的结果,并进行标记和计数。将算法移植到黑头仪设备中,经过测试,算法识别准确率达到85.55%。

基于高分七号影像自动提取东北黑土区侵蚀沟的方法

东北黑土区沟蚀严重且分布面积广,目前对其进行监测大多基于目视解译,自动化程度低,急需一种快速提取方法。本文选取沟蚀严重的黑龙江省宾县马蛇子河流域,基于高分七号影像,以目视解译结果为参照,比较流向边缘检测、机器学习、深度学习3种方法自动提取侵蚀沟的精度。结果表明:①流向边缘检测方法依赖高精度地形数据,高分七号立体像对生成的地形数据垂直精度低,侵蚀沟整体提取精度仅为6.7%,无法用于切沟和浅沟的自动提取;②机器学习方法需要人为设置分割参数并设计分类特征,自动化程度较低,侵蚀沟整体提取精度可达50.7%,对切沟识别精度可达83.1%,但对浅沟识别精度仅为9.2%;③深度学习方法采用端对端的模式,无须人为设计特征提取器,自动化程度高,整体提取精度可达60.8%,对切沟识别精度可达68.1%,对浅沟识别精度可达69.7%。

一种新型深度分类神经网络黑盒指纹水印算法

提出了一种新型的强鲁棒黑盒指纹水印框架及方法。首先,提出了一种基于数字水印技术的高视觉质量的、具有一定安全性的毒化图像构造方法,将指示用户身份的信息嵌入到毒化图像,实现多用户场景下深度神经网络模型的可追溯性,并降低毒化图像被伪造的概率;其次,提出了毒化特征加强模块来优化模型训练;最后,设计了对抗训练策略,有效地学习到嵌入强度很小的指纹水印。大量的仿真实验表明,所构造的毒化图像中的指纹水印具有非常好的隐蔽性,大幅超越了WaNet等同类最优模型水印方法;以分类性能降低不超过2.4%的代价获得了超过99%的黑盒模型指纹水印验证率;且即便在指纹水印相差1位时亦能准确地进行模型水印版权验证。这些性能总体上优于同类最优的模型水印方法,表明了所提方法的可行性和有效性。

面向图像分析领域的黑盒对抗攻击技术综述

图像领域下的黑盒攻击(Black-box Attack)已成为当前深度神经网络对抗攻击领域的热点研究方向.黑盒攻击的特点在于仅利用模型输入与输出的映射关系,而无需模型内部参数信息及梯度信息,通过向图像数据加入人类难以察觉的微小扰动,进而造成深度神经网络(Deep Neural Network,DNN)推理与识别失准,导致图像分析任务的准确率下降,因此由黑盒攻击引起的鲁棒性问题成为当前DNN模型研究的关键问题.为提高黑盒攻击在图像分析任务下的攻击成效,现有相关研究以低查询次数、低扰动幅度、高攻击成功率作为优化目标,针对不同图像分析任务采用不同的攻击模式与评估方式.本文以主流的图像分析任务为出发点,阐述图像分类、目标检测与图像分割三类任务中黑盒攻击算法的核心思想和难点,总结黑盒对抗攻击领域中的关键概念与评估指标,分析不同图像分析任务中黑盒对抗攻击的实现策略与研究目标.阐明各个黑盒攻击算法间的关系与优势,从攻击成功率、查询次数以及相似性度量等多个方面对不同的黑盒攻击算法进行性能比较,以提出目前图像分析领域中黑盒对抗攻击仍存在的主要挑战与未来研究方向.

基于OpenMV的图像质量监控与失真检测系统

针对图像质量监控过程中出现的失真等问题,提出一种基于OpenMV的图像质量监控与失真检测系统。该系统以STM32单片机作为主控板,搭载OpenMV作为图像采集设备,通过优化OpenMV IDE软件的函数库检测方法,对图像数据进行失真检测,在保证精度达标的情况下提高了检测速度。该系统能够识别视频监控画面中雪花噪声、亮度异常、图像偏色、图像模糊和黑屏等失真类型,并在检测出失真后进行示警。实验结果表明,该系统图像失真类型检测示警平均成功率达到了85%以上,展现出了良好的准确性和实用性。能够适应不同环境和场景的监控需要。

基于稳定Adam和空间域变换的对抗样本生成算法

深度神经网络广泛应用于图像分类、目标检测、自然语言处理等领域,但其容易受到对抗样本攻击。现有的多数攻击都是基于快速梯度符号法,通过在输入中添加相同幅度的扰动达到攻击效果,这些方法虽然有效但并不利于快速找到具有泛化能力的对抗样本。针对对抗样本的泛化性,提出一种结合稳定自适应矩估计和空间域变换的梯度优化算法来改进现有的对抗样本生成算法。将Nesterov算法引入一阶矩估计的更新中,基于AdaBelief算法,将Belief参数应用于二阶矩估计,同时根据指数衰减率计算衰减步长以获取更稳定的梯度。从数据增强的角度考虑,在对抗样本生成的过程中将输入样本在空间域进行变换,通过加权不同变换的梯度来更新原有梯度,从而提高对抗样本的可迁移性。实验结果表明,改进算法对抗样本性能显著提升,其白盒攻击成功率能够保持在99.6%以上,同时黑盒攻击成功率可提高到74.5%。

基于高分七号立体影像提取松嫩典型黑土区切沟和浅沟的精度分析

沟蚀作为一种极端形式的土地退化现象,对东北黑土区生态安全和粮食安全都构成潜在危险。为探索高分七号立体影像监测东北黑土区沟蚀的适用性,在沟蚀严重的黑龙江省宾县选取典型小流域,以无人机数据为参照,分析使用高分七号提取浅沟和切沟参数的精度。结果表明:1)高分七号解译小流域浅沟数量和密度的误差在50%以上,存在多种情况的误判;而解译切沟线密度和面密度的精度很高,误差分别为1.00%和5.62%。2)基于高分七号影像解译浅沟单沟沟长的平均误差为4.54 m,相对误差在10%以下的浅沟占40.48%,但与无人机测量值在统计上无显著差异,且具有良好的线性关系(R^(2)=0.93)。3)高分七号提取切沟单沟沟长、沟宽和面积的可靠性较高,平均误差分别为2.89%,14.92%和16.02%。切沟平均沟深的平均误差为1.24 m,相对误差24.46%,纵比降误差多在7%左右。切沟体积解译的平均相对误差为69.95%。高分七号切沟单沟二维参数、小流域尺度切沟密度测量方面都具有较高精度,但提取三维切沟参数存有较大误差,难以用于切沟侵蚀量的测量。

聚烯烃管材料炭黑分散度测试过程的优化

对聚烯烃管材料炭黑分散度测定过程、数据准确性和分析效率的影响因素进行了讨论,找到了制约炭黑分散度测试的两个重要因素是切片质量和图片识别,对测试过程进行了优化,提高了聚烯烃管材料炭黑分散度测试分析效率和准确度,并收集了部分典型的比对图库,已在生产实际中应用,效果良好。