The Adsorption of Polyethylene Glycols to a Dropping-Mercury Electrode and their Effect on Surface Potential

The adsorption of two polyethylene glycols to a dropping-mercury electrode has been studied. Like cationic surfactants, they were more strongly adsorbed on a negative surface than a positive one and like cationic surfactants therefore, they must shift the potential of an isolated surface to more positive values. This effect was also observed in alkaline solution and was therefore unlikely to be due to the formation of oxonium ions. Rather it was due to the adsorption of a number of oriented dipoles.     

The Adsorption of Gelatin to Developed Silver and the Role of Gelatin in Development

The adsorption of gelatin to developed silver is demonstrated and semi-log isotherms are constructed at two temperatures in the presence and absence of developer components. Analysis of the isotherms suggests that the adsorption is weak (physicol) but this is contradicted by its observed irreversibility. The induction period and apparent energy of activation of development in the liquid system studied are shown to increase with gelatin concentration.The effect of a cationic wetting agent on adsorption and development is described. The specific gravity of silver developed under various conditions is recorded.The possibility is suggested that the firmly bound layer of gelatin on emulsion groins, creates a "thermal" barrier as a result of a difference (not proven) in the heat of adsorptions to silver hol1de and silver. Loosely bound gelatin is believed to form a conventional negative charge barrier.     

A new image encryption algorithm based on the high-dimensional chaotic map

Abstract

Because precision degradation of low-dimensional chaos has seriously affected the security of encryption, a high-dimensional chaos is designed for image encryption according to Devaney and topological conjugate definition. The characteristics of the high-dimensional chaotic map are proved by Devaney definition and the security features are analysed. Owing to the periodic defects of Cat map, a new separated Cat map is designed for the confusion process. The bilateral-diffusion scheme is used in the novel image encryption. The experiment analysis shows that the algorithm passes the random and pseudo-random sequence of test standard SP800-22 released by the National Institute of Standards and Technology Commission and the DIEHARD pseudo-random sequence test. And the experiment results demonstrate that the encryption scheme has a high security.     

基于脊波变换与混沌系统的图像加密技术

提出了一种基于脊波变换以及混沌序列的快速图像加密算法．利用脊波变换的基本原理,对秘密图像以及由混沌序列生成的广义混沌图像进行脊波变换,然后把脊波变换后系数进行融合,最后利用脊波逆变换进行图像重构得到结果图像．数值试验表明该算法简单易行,抗攻击能力较强.     

An illumination and highlights invariant colour model for image matching

Abstract

Colour can provide critical information for a variety of computer vision tasks such as image matching, object recognition and image retrieval. However, for it to be useful in practice, the colour model used to represent the intrinsic properties of the imaged objects must be insensitive of imaging conditions such as lighting geometry, illumination colour and highlights. In this paper, we present a colour model for image matching and object recognition that is invariant for illumination and highlights. The colour model is defined as the ratios of the colour differences between neighbouring pixels for each colour component. Based on the dichromatic reflection colour model, it is shown that the proposed colour model is invariant to lighting geometry, illumination colour, highlights and diffuse lighting. Experimental results show robust image matching using the proposed colour model on objects that are illuminated under different illumination colours and lighting geometry. The proposed colour model can be used as a prepossessing step for applications where limited or no constraints on the imaging process can be imposed.     

Secured secret sharing technique based on chaotic map and DNA encoding with application on secret image

This paper shows a secured key-based (k, n) threshold cryptography scheme, where key as well as secret data is shared among set of participants. In this scheme, each share has some bytes missing and these missing bytes can be recovered from a set of exactly k shares, but not less than k. Therefore, each share contains partial secret information which is also encrypted by DNA encoding scheme. Additionally, this paper introduces a concept, where each share information size is varied. More precisely, each share contains a different percentage of secret information and which is strongly dependent on the key. Moreover key sensitivity analysis and statistical analysis prove the robustness against different cryptanalysis attacks and thus ensures high acceptability for information security requirements.     

Optical asymmetric cryptosystem based on photon counting and phase-truncated Fresnel transforms

We propose a novel optical asymmetric cryptosystem combining the photon counting imaging with phase-truncated Fresnel transform, which can be used for complete information retrieval and authentication verification. The proposed combination overcomes the weakness of photon counting-based double random phase-encoding scheme. For retrieval of original image for authentication, the reverse process of phase truncation approach is followed and a nonlinear correlation filter is used. The complete information retrieval and authentication verification are possible provided sufficient number of photons is available. To check the robustness of the proposed scheme, attack analysis has been carried out. The simulation results are presented to demonstrate the proposed idea.     

基于离焦状态模糊显微图像反馈的微操作方法

提出了一种基于离焦状态模糊显微图像反馈的微操作方法,此方法关键在于提取离焦状态显微图像的三维位置信息.给出了基于系统辨识的显微图像深度信息提取方法和扫描线算法,分别用于提取离焦状态显微图像的深度信息和平面位置信息,上述方法在精度和效率两方面均达到在线应用水平.进一步,将上述方法应用于微操作机器人系统,成功完成了离焦状态双针互插实验.这样,微操作在聚焦状态和离焦状态下均可进行,也就将微操作机器人的工作空间在Z方向(光轴方向)进行了拓展,实验条件下,从聚焦区内约2μm范围扩展到聚焦带上下70μm.     

Henon映射的图像加密新算法

从混沌动力学的角度出发,运用非线形控制系统的原理来研究混沌序列.以Henon映射为基础,在控制系统设置控制参数以形成混沌序列.同时也证明了模加减运算是成立的,并给出了相应定理的证明.在图像加密新算法中,运用了异或运算和模加减运算相结合的方式.实验结果证明,该算法生成的混沌序列对图像加密具有比较好的效果.     

基于图像处理的明火火灾探测研究

基于数字图像处理技术，实时采集火灾现场帧彩色图像，实时计算图像数据在空间分布上所包含的纹理特征信息——能量（CON）、熵（ENT）、相关（COR）、惯性矩（ASM），并提取火焰的形状，获得火焰特征参数——面积、周长、圆形度、重心．通过融合处理连续帧图像数据，量化得到纹理信息表示的现场环境状况和火焰特征参数表示的火焰形状及其不稳定性特征。这些特征参数在火灾发生时出现了明显的变化，呈现出一定的规律，利用这些规律可以在现代船舶上实现火灾图像探测报警。     

A colour image retrieval scheme based on Z-scanning technique

Abstract

This paper proposes a new colour image retrieval scheme using Z-scanning technique for content-based image retrieval (CBIR). In recent years, the CBIR is a popular research topic for image retrieval. This paper proposes a scheme which employs the Z-scanning technique to extract directional intensity features for measuring the similarity between query and database images. In the multiple channel images, each colour channel can be processed individually or combined into a grey channel Y. In order to extract the features by Z-scanning technique from all images, each channel of all images must be divided into several N×N blocks. In each block, F pairs of pixels are scanned by a ‘Z’ direction to obtain the texture features. Each colour channel can be obtained an M×M Z-scanning co-occurrence matrix (ZSCM) for storing the probability of each relationship of all closest blocks. At the similarity measure stage, the ZSCMs of query image and database images are compared to measure their similarity. The experimental results show that the proposed scheme is beneficial for image retrieval when the images include the same texture or object. On the other hand, the proposed scheme also can get better retrieval results and more efficiency than colour correlogram (CC) technique for colour texture images. Another technique uses motif co-occurrence matrix (MCM) as the feature in similarity measurement. The experimental results show the proposed ZSCM can get better retrieval results and higher recall and precision values than the CC and MCM techniques for public image databases.     

A content-based image retrieval system based on object-moment feature

The last decade has witnessed great interest in research on content-based image retrieval (CBIR). In 2009, Lin et al. proposed a smart CBIR system based on colour and texture feature. Their system has a high detection rate except the cases where image objects have similar shapes. To enhance the detection rate a shape-based image feature called object-moment is proposed in this paper. Object-moment uses the moment of force to compute the object edge feature by calculating the distance from each edge pixel to the axis, and adding them up as a feature. Besides, we integrate the colour features (NSOM, CSOM) and the texture features (CCM, DBPSP) to enhance image detection rate and simplify computation of image retrieval. A series of analyses and comparisons are performed in our experiments to demonstrate that our proposed method improves the retrieval accuracy significantly.     

网络环境下实时图像信息处理传输系统

基于 MPEG-IV 编解码技术和 RTP/RTCP 网络传输协议,设计出一种以高速 DSPTMS320C6205 为核心处理器的实时图像信息处理传输系统(IPTS)。系统的总体构架采用Client/Server 模式,由现场视频信息采集前端、信息中心和视频信息传输网络构成。该系统融合了先进图像处理技术、信息技术、数据通信传输技术及自动控制技术等,能实时地采集和处理图像信息,并进行网络传输和控制,是一种范围大、方位全、实时、准确和高效信息综合处理系统。     

A novel image inpainting technique based on median diffusion

Image inpainting is the technique of filling-in the missing regions and removing unwanted objects from an image by diffusing the pixel information from the neighbourhood pixels. Image inpainting techniques are in use over a long time for various applications like removal of scratches, restoring damaged/missing portions or removal of objects from the images, etc. In this study, we present a simple, yet unexplored (digital) image inpainting technique using median filter, one of the most popular nonlinear (order statistics) filters. The median is maximum likelihood estimate of location for the Laplacian distribution. Hence, the proposed algorithm diffuses median value of pixels from the exterior area into the inner area to be inpainted. The median filter preserves the edge which is an important property needed to inpaint edges. This technique is stable. Experimental results show remarkable improvements and works for homogeneous as well as heterogeneous background. PSNR (quantitative assessment) is used to compare inpainting results.     

基于混沌映射不变分布的研究

详细地研究了计算混沌映射不变分布的几种数值方法.结果表明,公式法适用于类似抛物线映射简单类的情况;直方图法适用于统计样本较大的情况;特征向量法适用于统计样本较少,但转移概率已知的情况。以logistic map混沌映射为例作了仿真,计算机模拟结果与理论分析结果相符。     

基于动态可变参数的复合混沌系统的语音加密算法研究

利用混沌理论,基于Hénon映射和Logistic映射设计了一个复合混沌系统,并证明了其具有更好的初值敏感性。对产生的混沌二值序列进行美国国家标准与技术研究所(National Institute of Standard and Technology,NIST)随机数测试,分析得出该序列具有较好的随机性,可用于加密。依此设计了一个语音加密算法,实现了语音信号的加/解密功能。仿真分析表明,该混沌语音加密算法具有较高的安全性,能产生足够的密钥空间,有较强的保密性能。     

Face recognition based on symmetrical virtual image and original training image

In face representation-based classification methods, we are able to obtain high recognition rate if a face has enough available training samples. However, in practical applications, we only have limited training samples to use. In order to obtain enough training samples, many methods simultaneously use the original training samples and corresponding virtual samples to strengthen the ability of representing the test sample. One is directly using the original training samples and corresponding mirror samples to recognize the test sample. However, when the test sample is nearly symmetrical while the original training samples are not, the integration of the original training and mirror samples might not well represent the test samples. To tackle the above-mentioned problem, in this paper, we propose a novel method to obtain a kind of virtual samples which are generated by averaging the original training samples and corresponding mirror samples. Then, the original training samples and the virtual samples are integrated to recognize the test sample. Experimental results on five face databases show that the proposed method is able to partly overcome the challenges of the various poses, facial expressions and illuminations of original face image.     

一种基于图像特征提取的浮选回收率预测算法

针对矿物浮选过程中的一类回收率预测问题,提出了一种基于泡沫图像特征提取的预测算法.该算法采用最小二乘支持向量机(LSSVM)建立预测模型,通过施密特正交化对核矩阵进行简约,利用核偏最小二乘方法(KPLS)进行LSSVM参数辨识,以此构造具有稀疏性的LSSVM,有效地减小了算法的计算复杂度.为检验模型泛化及预测能力,为多个泡沫特征信息引入预测模型,采用泡沫图像特征提取方法提取泡沫颜色、速度、尺寸、承载量及破碎率特征.实验结果表明,该预测算法对浮选回收率具有良好预测效果.     

基于PCNN的海冰SAR图像分类系统

简化和改进了脉冲耦合神经网络（PCNN）,建立了基于时间索引图的脉冲耦合神经网络海冰SAR图像分类器,用于海冰SAR图像的分割和海冰分类。在此基础上建立了基于人工解译的半自动海冰分类判读系统。将发展的分类器用于辽东海湾冰探测,结果表明这个分类器能够区分海冰和海水,识别不同海冰类型,且具有高效率。为了选择适合辽东湾海冰分类的PCNN参数,分析了链接半径、链接强度和索引图等级等参数,给出了各参数合适的取值范围及调节原则。     

采用小波与神经网络的高效图像数据压缩方案

通过构造特别的映射、整函数和BP神经网络,获得一套基于神经网络的无损数据压缩方案。由于该方案能压缩已被小波编码压缩过的数据,因此将其嵌套入一好的小波编码系统就可以获得一种基于小波与神经网络的高效图像数据压缩方案。实验证明,该高效方案对于Lenna图像的压缩比为43∶1, 并且恢复的图像有较好的视觉效果。