Coverless Information Hiding Based on the Molecular Structure Images of Material

The traditional information hiding methods embed the secret information by modifying the carrier,which will inevitably leave traces of modification on the carrier.In this way,it is hard to resist the detection of steganalysis algorithm.To address this problem,the concept of coverless information hiding was proposed.Coverless information hiding can effectively resist steganalysis algorithm,since it uses unmodified natural stego-carriers to represent and convey confidential information.However,the state-of-the-arts method has a low hidden capacity,which makes it less appealing.Because the pixel values of different regions of the molecular structure images of material(MSIM)are usually different,this paper proposes a novel coverless information hiding method based on MSIM,which utilizes the average value of sub-image’s pixels to represent the secret information,according to the mapping between pixel value intervals and secret information.In addition,we employ a pseudo-random label sequence that is used to determine the position of sub-images to improve the security of the method.And the histogram of the Bag of words model(BOW)is used to determine the number of subimages in the image that convey secret information.Moreover,to improve the retrieval efficiency,we built a multi-level inverted index structure.Furthermore,the proposed method can also be used for other natural images.Compared with the state-of-the-arts,experimental results and analysis manifest that our method has better performance in anti-steganalysis,security and capacity.

A Study of the Negative Influence of English Loan Words from Chinese Origin on the Image of Chinese People——Taking “Tuhao”“Dama” and “Guanxi” for examples

With the increasing Chinese influence on the international language English, words like "tuhao" and "dama" have been included into the Oxford Dictionary. Some loan words from China have undermined the image of Chinese people. This paper, by taking"tuhao","dama"and"guanxi"for examples, analyzes the impact of these new loan words in English on the image of Chinese people. The result shows these words have negative influence on the image of Chinese people. Therefore, countermeasures should be taken to strengthen the spread of China's positive image.

Image Classification Based on the Fusion of Complementary Features

Image classification based on bag-of-words（BOW）has a broad application prospect in pattern recognition field but the shortcomings such as single feature and low classification accuracy are apparent.To deal with this problem,this paper proposes to combine two ingredients：（i）Three features with functions of mutual complementation are adopted to describe the images,including pyramid histogram of words（PHOW）,pyramid histogram of color（PHOC）and pyramid histogram of orientated gradients（PHOG）.（ii）An adaptive feature-weight adjusted image categorization algorithm based on the SVM and the decision level fusion of multiple features are employed.Experiments are carried out on the Caltech101 database,which confirms the validity of the proposed approach.The experimental results show that the classification accuracy rate of the proposed method is improved by 7%-14%higher than that of the traditional BOW methods.With full utilization of global,local and spatial information,the algorithm is much more complete and flexible to describe the feature information of the image through the multi-feature fusion and the pyramid structure composed by image spatial multi-resolution decomposition.Significant improvements to the classification accuracy are achieved as the result.

The Common Traits of Good English Poems

What are the essential elements of good poems? Through observation and analysis,it can be said that a good poem has excellentword choice and photographic pictures.A good poem can also provide another way to see the world and contains multiple meanings.Last-ly,generally speaking,a good poem is the outflow of strong inner feelings and can touch the readers heart deeply.

Visual processing of word and image in the fusiform gyrus

BACKGROUND： The role of the left midfusiform gyrus as a target for visual word processing has been a topic of discussion. Numerous studies have utilized alphabetic writing for subject matter. However, few have addressed visual processing of Chinese characters in the left midfusiform gyrus. OBJECTIVE： To verify visual processing of Chinese characters and images in the left midfusiform gyrus using functional magnetic resonance imaging. DESIGN, TIME AND SETTING： A blocked design paradigm study. Experiments were performed at the Room of Magnetic Resonance, Guangdong Provincial Second People＇s Hospital, China from May to June 2009. PARTICIPANTS： A total of eight undergraduate students were recruited from Guangzhou University of China, comprising two females and six males, aged 20-23 years. The subjects were right-handed which was determined by a Chinese standard questionnaire. None of the subjects had a history of psychoneurosis, familial disease, color blindness, or color weakness. METHODS： A total of eight undergraduates were enrolled as subjects. Picture-naming and verb generation tasks were employed through the use of functional magnetic resonance imaging. Analysis of Functional Neurolmages software was used to process the data. MAIN OUTCOME MEASURES： Visual processing of Chinese characters and images in the left midfusiform gyrus was measured. RESULTS： Picture-naming and verb generation tasks were shown to significantly activate the bilateral midfusiform gyrus. Activation occurred in the visual word form area of the left midfusiform gyrus. CONCLUSION： The left midfusiform gyrus plays a general role in visual processing of Chinese characters and images.

Research on the Recovery of the Transported Static Image with Channel Errors

A discussion is presented to gain the relationship between the original image and the reconstructed image while errors are mixed with the DCT data of the original image for the transmission. We can find the wrong reconstructed blocks, locate blocks, which are most likely to contain errors and eliminate errors. The method needs no channel error protection, needs no verifiable bits, and needs no extra bandwidth. Experimental results are provided in the end.

Algorithm of the Real-Time Extraction Image for Vehicle

An algorithm applied to a real-time extraction image of vehicle is introduced. The algorithm include an image processing with a binarzation method, image grab for a vehicle with high speed, character isolator one by one, and neural network algorithm. The techniques include vehicles sensing, image garb control, vehicle license location, lighting and optic character recognition. The system is much more robust and faster than the traditional thresholding method.

Word-Image Intertwining:William Blake’s Illuminated Poetry and the Aesthetics of Compositeness

Bowen Wang Trinity College Dublin,Dublin,From ut pictura poesis to intermediality,the close,interactive,and complicated relationship between poetry and painting has been an inevitable subject under discussion throughout the historiography of literature and fine art.Different approaches and interpretations to/on their sisterhood could come to a broad spectrum of interartistic ideas and practices.William Blake,an English Romantic poet,painter,and printmaker,links word and image by his invention of relief etching,or more understandably,the illuminated painting which juxtaposes his verse with in-text illustrations simultaneously on the same page.His technical strategy has already implied a dynamic and dialectical interrelation between word and image,like the treatment of earlier medieval manuscripts,yet in a more innovative rather than decorative manner.This article,therefore,through a comparative analysis of both Blake’s verbal and visual representations,will first attempt to clarify two distinct modes of combining poetic language with visualisation vis-à-vis form and content,and then critically investigate how this word-image interaction can be used to reflect the poet’s Romantic thought about sociocultural changes and provide new possibilities of reading,interpretation,and aesthetic complexity in that specific epoch.

基于图像Bag-of-Words模型的无载体信息隐藏

介绍一种基于bag-of-words(BOW)模型的无载体信息隐藏方法.该方法使用BOW模型提取图像的视觉关键词(visual words,VW)以表达待隐藏的文本信息,从而实现文本信息在图像中的隐藏.首先使用BOW模型提取图像集中每幅图像的VW,构建文本信息的关键词和VW的映射关系库;然后把每幅图像分为若干子图像,统计每一幅子图像的VW频数直方图,选择频数最高的VW表示该子图像;最后根据构建的文本关键词和子图像VW的映射关系库,搜索出与待隐藏文本信息存在映射关系的子图像序列,将含有这些子图像的图像作为含密图像进行传递.实验结果和分析表明,该隐藏算法在抗隐写分析、鲁棒性和安全性方面均有良好的表现.

基于Bag of Words的干果图像分类研究

针对干果图像信息量大、分类精度低和耗时多的特点,提出利用Bag of Words模型提取图片的代表特征,并采用朴素贝叶斯分类器指导特征矩阵分类。结果表明,图像分类精度能达到80%,分类处理时间约为2 s。通过增加学习样本来进一步提高分类精度,将Bag of Words应用于干果图像识别和分类是可行的。

基于Bag-of-words和Hash编码的近似重复图像检测算法

针对近似重复图像检测的传统算法存在检测效率和准确率不够高的缺点,提出了基于Bag-of-words和哈希编码的近似重复图像检测算法。该算法首先利用Bag-of-words把一幅图像表示成一个500维的特征向量;然后,利用主成分分析(PCA)和尺度不变特征转换(SIFT)进行特征降维,并利用Hash编码技术对特征进行编码;最后,利用动态距离度量技术实现近似重复图像的检测。实验结果表明,利用该算法进行近似重复图像检测是完全可行的,在准确度和查全率之间做到了较好的平衡,查准率可达90%～95%,查全率可达70%～80%。

Cultural Image of Animal Words

This paper,after introducing the definition and forms of cultural image,focuses on the detailed comparison and analysis of cultural image of animal words both in English and in Chinese from four aspects,that is,same animal word,same cultural image;same animal word,different cultural images;different animal words,same cultural image;different animal words,different cultural images.

基于Bag of words模型的图像检索系统的设计与实现

该系统将Bag of words模型用于大批量图像检索,基于OpenCV C语言库提取图像的SIFT特征,然后使用Kmeans算法进行聚类,再将其表示成Bag of words矢量并进行归一化,实现大批量图像检索,并用caltech256数据集进行实验。实验表明,该系统该系统采用的方法是有效的。

Minimum Inductance Optimal Design for the Gradient Coil

In MRI (Magnetic Resonance Imaging), a crucial role of gradient coils is to image organism, meanwhile the inductance of the coils determines the speed of imaging. So it is of great importance to optimize designs of the gradient coils. The target field approach is an effective method to design the gradient coils. Having applied this method and performing many numerical tests, we achieved the designs of thex ?,y ?,z ? in which the inductance and resistance of the coils also meet the requirements.

Dissociative Electron Attachment to Carbon Dioxide

Our experimental progresses on the reaction dynamics of dissociative electron attachment(DEA)to carbon dioxide(CO2)are summarized in this review.First,we introduce some fundamentals about the DEA dynamics and provide an epitome about the DEAs to CO2.Second,the experimental technique developments are described,in particular,on the highresolution velocity map imaging apparatus in which we put a lot of efforts during the past two years.Third,our findings about the DEA dynamics of CO2 are surveyed and briefly compared with the others’work.At last,we give a perspective about the applications of the DEA studies and highlight the inspirations in the production of molecular oxygen on Mars and the catalytic transformations of CO2.

SOLO100%《ANOTHER DAY》经典

大家好，今天我们为大家选送的经典Solo选自DREAM THBATRE（梦剧院）乐队《IMAGES AND WORDS》专辑中的歌曲《Another Day》。

基于BoF和迹变换多特征融合的图像纹理分类研究

针对BoF模型缺少几何特征、结构特征的表达,对纹理图像特征描述不充分等问题,提出一种基于BoF和迹变换多特征融合的图像纹理分类方法。首先通过关键点检测的方法获取纹理图像的碎片化图像,然后提取碎片化图像的迹变换特征和SIFT特征,通过特征交叉编码的方式和动态鉴别能量的方法,获取迹变换特征和SIFT特征的融合特征并进行特征单词优选,再以BoF模型进行特征编码,最后输入到支持向量机(SVM)中进行训练、预测和分类。实验在OutexTC10/TC12000和KTHTIPS纹理数据集上分别取得了100%、99.87%和97.6%的识别精度,结果表明该设计方法对具有几何特征、结构特征的纹理图像可以获得较好的分类效果,有效地提高了纹理分类的识别性能。

Sora:从技术哲学到文艺学的思考(笔谈)

哲学学者吴冠军从技术哲学的视角提出:从ChatGPT、DALL·E到Sora,基于转化器的AIGC大模型并不只改变了内容创作,还改变了“世界”在最字面上的意义。世界化成的过程,越来越多被以有损压缩-重新生成为发生学机制的AIGC之创造性活动所介入,这就导致“宇宙”(我们眼里的“物理宇宙”)与“元宇宙”不断深层次地叠加,“自然进程”与“人工创造”不断深层次地交织以至进入无可区分之域。这就意味着,我们所熟悉的那个“世界”,将一去不复返:当AIGC已“深”到参与世界化成本身之中时,讨论“深伪”将越来越没有意义。文艺学学者赵宪章则从“语图关系学”的视角提出:Sora的横空出世及其未来演进,不仅不是图像时代符号危机的解除,更不是语图关系研究的终结。恰恰相反,Sora加深了这一危机,语图关系研究也延宕出新的面向。

弱引力小天体的自主捕获与相对导航方法

远距离自主捕获与近距离高精度自主相对导航是小天体探测任务中的关键问题,并且目标尺寸越小,问题越突出。首先,针对数万千米到数千千米远距离范围内的星空背景暗弱目标难以识别的问题,提出综合利用运动学和亮度的全自主捕获和识别方法,可以实现距离大范围变化的快速准确捕获,具备了3万千米以远捕获10等星暗弱目标的能力;其次,针对数千到数十千米范围交会段视线测量可观性不足的问题,提出基于视线和轨迹机动一体化设计的相对导航方法,在考虑燃料消耗的前提下有效地提高了轨迹可观性,实现了交会段优于5%精度的相对位置导航;最后,针对近距离不规则小天体表面附近的相对导航问题,提出基于图像陆标和点云特征相结合的光学导航方法,可同时适应阳照区和阴影区的探测需求,并结合基于多源数据融合的弱引力小天体重力场反演方法,进一步提高近距相对导航的精度,近距采样相对位置优于1 m,相对速度优于1 cm/s。对所提出的方法进行了数学和物理的仿真验证。提出的方法有效解决了小天体探测中的高精度相对导航问题,也能适用于数十米量级直径大小和明暗快速交替变化的小天体着陆探测任务。

颞下颌关节盘前移位患者盘-髁复合体MRI特征及盘周附着半量化评级研究

目的通过盘-髁复合体磁共振成像(magnetic resonance imaging,MRI)特征分析及盘周附着半量化评级法,探讨颞下颌关节可复性盘前移位(anterior disc displacement with reduction,ADDWR)与不可复性盘前移位(anterior disc displacement without reduction,ADDWoR)中关节盘形态、髁突形态及盘周附着处之间的相关性。材料与方法回顾性分析2021年5月至2022年9月于福建省级机关医院行MRI检查确诊为颞下颌关节盘前移位74例患者共114侧,分为ADDWR组39侧和ADDWoR组75侧,比较关节盘形态Ⅰ~Ⅳ类型、髁突形态3类别及盘周附着处半量化评分分级6级。采用Kruskal-Wallis检验比较两组中不同关节盘形态类型、髁突形态类别及盘周附着分级之间差异。采用Mann-Whitney U检验比较两组之间关节盘形态、髁突形态、盘周附着处总评分及各处附着评分差异。采用Spearman秩相关分析关节盘形态、髁突形态、盘周附着处总评分及各附着与盘-髁复合体可复性与否的相关系数。采用二元logistic回归方法对盘周附着的模型筛选出独立危险因素,作为盘-髁复合体是否可复性的预测。结果除Ⅲ型与Ⅳ型外,两组关节盘形态类型差异均有统计学意义(P<0.05)。两组髁突形态类别差异均有统计学意义(P<0.05)。除1级至4级、5级/6级外,两组盘周附着评分分级差异均有统计学意义(P<0.05)。关节盘可复性与否和关节盘形态、髁突形态及盘周附着处总评分存在较强的正相关性(r分别为0.824,0.626及0.827,P<0.05)。盘周附着处的logistic回归预测模型筛选发现下板附着处是关节盘可复性与否的独立危险因素,回归系数为2.979(OR=19.672,P<0.05)。结论基于盘-髁复合体MRI征象分析及半量化评级法,能有效地评估关节盘可复性与否的相关性因素,为临床治疗提供可靠的影像学参考。