A color image encryption algorithm based on hyperchaotic map and DNA mutation

We devise a color image encryption scheme via combining hyperchaotic map,cross-plane operation and gene theory.First,the hyperchaotic map used in the encryption scheme is analyzed and studied.On the basis of the dynamics of hyperchaotic map,a color image encryption scheme is designed.At the end of the encryption process,a DNA mutation operation is used to increase the encoding images’randomness and to improve the encryption algorithm’s security.Finally,simulation experiments,performance analysis,and attack tests are performed to prove the effectiveness and security of the designed algorithm.This work provides the possibility of applying chaos theory and gene theory in image encryption.

A Map Coloring Method

Different vertices are colored in a plan. Adjacent vertices are colored dif-ferently from nonadjacent vertices, which are colored the same color. One color is used for a single point, two colors are used for points without a loop, and a maximum of four colors are used for points with a loop. A maximum of four colors are used to color all points. .

Quantitative trait loci identification reveals zinc finger protein CONSTANS-LIKE 4 as the key candidate gene of stigma color in watermelon(Citrullus lanatus)

Stigma color is a critical agronomic trait in watermelon that plays an important role in pollination.However,there are few reports on the regulation of stigma color in watermelon.In this study,a genetic analysis of the F2 population derived from ZXG1553(P1,with orange stigma)and W1-17(P2,with yellow stigma)indicated that stigma color is a quantitative trait and the orange stigma is recessive compared with the yellow stigma.Bulk segregant analysis sequencing(BSA-seq)revealed a 3.75 Mb segment on chromosome 6 that is related to stigma color.Also,a major stable effective QTL Clqsc6.1(QTL stigma color)was detected in two years between cleaved amplified polymorphic sequencing(CAPS)markers Chr06_8338913 and Chr06_9344593 spanning a~1.01 Mb interval that harbors 51 annotated genes.Cla97C06G117020(annotated as zinc finger protein CONSTANS-LIKE 4)was identified as the best candidate gene for the stigma color trait through RNA-seq,quantitative real-time PCR(qRT-PCR),and gene structure alignment analysis among the natural watermelon panel.The expression level of Cla97C06G117020 in the orange stigma accession was lower than in the yellow stigma accessions with a significant difference.A nonsynonymous SNP site of the Cla97C06G117020 coding region that causes amino acid variation was related to the stigma color variation among nine watermelon accessions according to their re-sequencing data.Stigma color formation is often related to carotenoids,and we also found that the expression trend of ClCHYB(annotated asβ-carotene hydroxylase)in the carotenoid metabolic pathway was consistent with Cla97C06G117020,and it was expressed in low amounts in the orange stigma accession.These data indicated that Cla97C06G117020 and ClCHYB may interact to form the stigma color.This study provides a theoretical basis for gene fine mapping and mechanisms for the regulation of stigma color in watermelon.

Mapping and predicting a candidate gene for flesh color in watermelon

The color of watermelon flesh is an important trait determined by a series of carotenoids.Herein,we used Cream of Saskatchewan(pale yellow flesh)and PI 186490(white flesh)as parental materials for an F2 segregation and initial mapping using the bulked segregant analysis sequencing(BSA-seq)strategy.The BSA results revealed a flesh colorrelated QTL that spans approximately 2.45 Mb on chromosome 6.This region was preliminarily positioned in a 382-kb segment,and then narrowed down into a 66.8-kb segment with 1260 F2 individuals.A total of nine candidate genes were in the fine mapping interval,but only Cla007528(encoding chlorophyllase)had non-synonymous mutations and was significantly expressed between the parental materials throughout flesh development.We also checked the expression patterns of the carotenoid metabolic pathway genes based on RNA-seq data and qRT-PCR validation.Three genes in the xanthophyll cycle(ClCHYB,ClNCED-1 and ClNCED-7)exhibited differential expression patterns between the two parental lines at different flesh color formation stages.ClPSY1,ClPDS,ClZDS,ClCHXE,ClCRTISO and ClLCYB also exhibited clearly different expression patterns accompanied by carotenoid accumulation.

The Role of Color Doppler Ultrasound Arterial Mapping for Decision Making in the Treatment of Patients with Lower Extremity Peripheral Arterial Disease

Purpose: To assess the efficacy of color Doppler imaging for decision making in the treatment of patients with lower extremity peripheral arterial disease (PAD) compared to digital subtraction angiography (DSA). Materials and Methods: Color Doppler scan was done on patients suspected for lower limb PAD, a day prior to the DSA which was done by a vascular surgeon. Also, for the patients who were candidates for endovascular intervention based on the color Doppler arterial mapping results, endovascular interventions were performed at the same time if the DSA findings are correlated with the color Doppler map. The grading for evaluated segments was normal, insignificant stenosis (<50%), hemodynamically significant stenosis (≥50%) and occlusion. We yielded the diagnostic efficacy indices of Doppler for detecting arterial stenosis in each 18 different arterial segments below the renal arteries including, infrarenal aorta, common and external iliac, common femoral, superficial femoral (proximal, middle and distal segments), deep femoral, popliteal artery, tibioperoneal trunk, anterior and posterior tibial arteries (proximal, middle and distal segments) and peroneal artery (proximal and distal segments). Then, we yielded the kappa agreement between Doppler and DSA findings considering the grade of stenosis in 18 arterial segments separately. Results: Totally 115 lower extremities (2045 arterial segments) were evaluated in 90 patients [mean age: 60.8 ± 8.9 (range: 47 - 84 years old)] of which 68 (75.6%) were men. The sensitivity of color Doppler for all arterial segments was 90% or higher except for common iliac artery, distal segment of superficial femoral artery and proximal segments of anterior and posterior tibialis and peroneal arteries. However, the specificity was 89% or higher, in all arterial segments. Kappa agreement was 0.72 or higher in all segments (All P-Values 0.001). Conclusion: This study suggests that considering excellent capability of color Doppler sonography in the evaluation of lower extremity arterial disease, color Doppler arterial mapping is sufficient for decision making in the treatment of these patients and can reduce the rate of diagnostic angiography.

LIC color texture enhancement algorithm for ocean vector field data based on HSV color mapping and cumulative distribution function

Texture-based visualization method is a common method in the visualization of vector field data.Aiming at adding color mapping to the texture of ocean vector field and solving the ambiguity of vector direction in texture image,a new color texture enhancement algorithm based on the Line Integral Convolution(LIC)for the vector field data is proposed,which combines the HSV color mapping and cumulative distribution function calculation of vector field data.This algorithm can be summarized as follows:firstly,the vector field data is convoluted twice by line integration to get the gray texture image.Secondly,the method of mapping vector data to each component of the HSV color space is established.And then,the vector field data is mapped into HSV color space and converted from HSV to RGB values to get the color image.Thirdly,the cumulative distribution function of the RGB color components of the gray texture image and the color image is constructed to enhance the gray texture and RGB color values.Finally,both the gray texture image and the color image are fused to get the color texture.The experimental results show that the proposed LIC color texture enhancement algorithm is capable of generating a better display of vector field data.Furthermore,the ambiguity of vector direction in the texture images is solved and the direction information of the vector field is expressed more accurately.

Unification and Harmonization in True Color Image City Map

True color image city map is a sort of new-style map which combines the high resolution image and map symbols and shows both advantages in visualization. At the same time, the map unification and harmonization should be taken into account dur-ing the design process, since some visual conflicts appear when map symbols overlaid on the true color image. The objective of this research is to explore the rules in the process of true color image city map design based on chromatic and aesthetic knowledge. At the end, taking the Image Atlas of Guangzhou as an example, image color adjustment, road network presentation, and symbol de-signing issues will be discussed in the application.

Morphological Structure and Genetic Mapping of New Leaf-Color Mutant Gene in Rice (Oryza sativa)

Leaf-color mutations are a widely-observed class of mutations, playing an important role in the study of chlorophyll biosynthesis and plant chloroplast structure, function, genetics and development. A naturally-occurring leaf-color rice mutant, Baihuaidao 7, was analyzed. Mutant plants typically exhibited a green-white-green leaf-color progression, but this phenotype was only expressed in the presence of a stress signal induced by mechanical scarification such as transplantation. Prior to the appearance of white ~eaves, mutant plant growth, leaf color, chlorophyll content, and chloroplast ultrastructure appeared to be identical to those of the wild type. After the changeover to white leaf color, an examination of the mutated leaves revealed a decrease in total chlorophyll, chlorophyll a, chlorophyll b, and carotenoid content, a reduction in the number of chloroplast grana lamella and grana, and a gradual degradation of the thylakoid lamellas. At maturity, the mutant plant was etiolated and dwarfed compared with wild-type plants. Genetic analysis indicated that the leaf mutant character is controlled by a recessive nuclear gene. Genetic mapping of the mutant gene was performed using an F2 population derived from a Baihuaidao 7 ~ Jiangxi 1587 cross. The mutant gene was mapped to rice chromosome 11, positioned between InDel markers L59.2-7 and L64.8-11, which are separated by approximately 740.5 kb. The mutant gene is believed to be a new leaf-color mutant gene in rice, and is tentatively designated as gwgl.

Automatic salient object segmentation using saliency map and color segmentation

A new method for automatic salient object segmentation is presented.Salient object segmentation is an important research area in the field of object recognition,image retrieval,image editing,scene reconstruction,and 2D/3D conversion.In this work,salient object segmentation is performed using saliency map and color segmentation.Edge,color and intensity feature are extracted from mean shift segmentation(MSS)image,and saliency map is created using these features.First average saliency per segment image is calculated using the color information from MSS image and generated saliency map.Then,second average saliency per segment image is calculated by applying same procedure for the first image to the thresholding,labeling,and hole-filling applied image.Thresholding,labeling and hole-filling are applied to the mean image of the generated two images to get the final salient object segmentation.The effectiveness of proposed method is proved by showing 80%,89%and 80%of precision,recall and F-measure values from the generated salient object segmentation image and ground truth image.

Effects of Colored Noise on Periodic Orbits in a One-Dimensional Map

噪音能导致反的加倍时期的转变和混乱。在逻辑地图的不同周期的序列，周期的轨道上的有颜色的噪音的效果被调查。这被发现轨道的动态行为，由指数地相关的有颜色的噪音导致了，在他们的动态行为上的噪音紧张的转变，和效果的合并是不同的与噪音的关联时间的效果不同。显著地，也就是，噪音能导致新周期的轨道二条新轨道出现在时期--在分叉参数值=的四个序列 3.5 ，在时期的四条新轨道--在=的八个序列 3.55 ，并且在时期的三条新轨道--在=的六个序列 3.846 分别地。而且，新轨道的动态行为清楚地显示出 resonancelike 反应到有颜色的噪音。

APPLYING OONN TO SOLVE MAP-COLORING PROBLEM

For solving the map-coloring problems,this paper presents an energy function,amore effective dynamic equation and a more simple convergence condition.For the first time westudy the map-coloring problems in the way of connecting discrete Hopfield neural network withthe orthogonal optimization,and as a practical example,a color map of China is given.

Ulva prolifera subpixel mapping with multiple-feature decision fusion

The unavoidable nature of Ulva prolifera mixed pixel in low-resolution remote sensing images would result in rough boundary of U.prolifera patches,omission of tiny patches,and overestimation of coverage area.The decomposition of U.prolifera mixed pixel addresses the issue of coverage area overestimation,and the remaining problems can be alleviated by subpixel mapping(SPM).Due to the drift and dissipation of U.prolifera,a suitable SPM method is the single image-based unsupervised method.However,the method has difficulties in detail reconstruction,insufficient learning of spectral information,and SPM error introduced by abundance deviation.Therefore,we proposed a multiple-feature decision fusion SPM(MFDFSPM)method.It involves three branches to obtain the spatial,abundance,and spectral features of U.prolifera while considers multi-feature information using the fusion strategy.Experiments on the Geostationary Ocean Color Imager images in the Yellow Sea of China indicate that the MFDFSPM overperforms several typical U.prolifera SPM methods in higher accuracy and stronger robustness in both SPM and abundance calculation,which produced subpixel map with more detailed spatial information and less noise.

基于特征图像组合与改进ResNet-18的电能质量扰动识别方法

针对传统电能质量扰动(power quality disturbance,PQD)识别体系中单一图像特征信息受限与算法识别能力不足等问题,依据特征融合的思想,提出一种基于特征图像组合与改进ResNet-18的PQD识别方法。首先,对PQD信号进行变分模态分解(variational mode decomposition,VMD)得到一系列固有模态函数(intrinsic mode functions,IMFs)与残差分量;其次,将IMFs、残差分量、原始扰动信号与Subtract分量纵向拼接成分量矩阵,利用信号-图像转化方法生成特征分量彩色图;再次,对原始扰动信号进行连续小波变换(continuous wavelet transform,CWT)生成小波时-频图;最后,将特征分量彩色图与小波时-频图组合输入改进的六通道ResNet-18中训练学习并完成扰动识别。通过仿真对PQD识别方法进行分析并将其与目前常用识别体系进行比较。结果表明,所提方法具有较好的抗噪性能并且能够更好地提取PQD特征信息,达到更高的识别准确率。

基于数据映射和胶囊网络的轴承故障诊断方法

传统深度学习模型自适应提取振动信号故障特征,实现端到端轴承故障诊断。然而,振动监测信号为非常复杂的非稳态时序信号,若深度网络直接以原始振动信号为输入,数据之间的非线性耦合作用会极大影响模型对故障特征的提取效率。目的为降低故障信号之间强非线性耦合作用,解决卷积神经网络对空间约束信息丢失的问题,提升轴承故障诊断性能,方法本文提出一种基于数据映射和胶囊网络(capsule network,CapsNet)的轴承故障诊断方法。首先,将图像处理领域中具有细化颜色特征能力的颜色空间模型(color names,CN)引入故障数据预处理中,将原始低维空间数据映射至高维空间,提升故障数据空间区分度;其次,针对映射后数据维度较高且具有一定冗余,影响故障诊断效率的问题,引入主成分分析(principal compo⁃nent analysis,PCA)法提取故障数据主元信息,降低数据维度;最后,考虑到胶囊网络有效提取空间约束信息的能力,将CapsNet作为故障诊断的骨干网络对故障特征进行识别和分类。结果使用CWRU、XJTU-SY数据集对该方法进行验证,实验结果表明,该方法在两种数据集上故障诊断准确率均达98%以上,与其他基于深度学习的故障诊断方法进行对比,该方法的诊断性能具有一定优势。结论本文方法可对故障数据进行有效解耦,提升数据之间的空间区分度,获得较高的轴承故障诊断精度。

黄瓜嫩果果皮颜色QTL定位与候选基因分析

果皮颜色是黄瓜(Cucumis sativus L.)重要的外观品质性状。以黄瓜嫩果绿色果皮材料CSIVF0254和嫩果白色果皮材料CSIVF0021为亲本,构建F2群体,对黄瓜嫩果果皮颜色基因进行遗传规律分析和基因定位研究。结果表明黄瓜嫩果果皮绿色对白色为不完全显性。2022年春季和秋季均检测到相同的主效位点Qcsc3.1、Qcsc5.1,其中Qcsc3.1被定位到3号染色体标记InDel3842~InDel4076之间,LOD值为17.19和24.92,表型贡献率在36.38%~39.86%之间;Qcsc5.1被定位到5号染色体标记InDel2342~SSR06660之间,LOD值为13.51和23.11,表型贡献率在28.53%~34.19%之间。通过生物信息学和qRT-PCR分析预测到5个候选基因。研究结果为调控果皮颜色基因精细定位及分子标记辅助选择育种奠定了良好的基础。

利用Surfer实现自动绘制渐变色平剖图及其在MAPGIS中的应用

提出利用Surfer绘制渐变色剖面平面图的构想,阐述了绘图数据格式及渐变色填充方法,编制程序自动调用Surfer 8.0软件,实现了自动绘图功能,制作出渐变色剖面平面图,并实现了MAPGIS环境的图形转换。实现的剖面图具有层次分明,立体感强,与MAPGIS转换操作简单容易等优点。

面向海岛海岸带区域的高分遥感影像智能化色彩增强方法

原始高空间分辨率海岛海岸带遥感影像往往存在影像灰暗、偏色、地物信息较难辨识的现象。为及时获取清晰、信息丰富、反差适中、亮度均匀的海岛礁遥感影像,满足日益强烈的海岛海岸带地理信息保障需求,针对海岛海岸带高空间分辨率遥感影像,该文提出一种深度学习结合改进直方图匹配的智能化调色方法。首先,进行数据重采样与自适应分块获取抽稀影像;其次,应用MBLLEN网络对抽稀影像进行真彩色增强;最后,采用改进直方图匹配的方法对原始影像进行色彩映射,最终得到符合人眼视觉、色彩一致、细节丰富的遥感影像。采用主客观相结合的方式综合评价调色效果,结果表明:相较于Retinex,HE和MASK等常用调色方法,该文算法结果更符合人眼视觉、色彩一致、细节丰富,可有效改善海岛海岸带高空间分辨率遥感影像视觉效果,较好地保留原始地物的细节信息,大幅提升调色效率。

基于MAPGIS的等高线矢量化研究

论述了基于MAPGIS平台的等高线矢量化方法,并对矢量化过程中出现的彩色地形图、等高线与图廓相交、断线及等高线方向不清等问题作了适当的方法论述。

基于图像处理的金属腐蚀等级评价方法

金属在服役过程中不可避免会产生锈蚀,目前工程中的金属腐蚀等级评价以人工评价为主,存在效率低和准确性差的问题。根据金属腐蚀前后像素点差异化特征,利用卷积神经网络结合滑动窗口法实现腐蚀特征分类及腐蚀区域定位,提出了一种颜色聚类结合标准色图谱信息表,实现了金属腐蚀等级的计算机评价。结果表明:该方法评价准确率达到96%,具有检测速度快、客观性强和准确性高的优点,解决了基于多指标对金属腐蚀等级进行快速评价的问题。

一份新的玉米永久性失绿突变体chs10的鉴定及基因克隆

【目的】利用60Co-γ射线处理自交系齐319获得了一份新的玉米叶色突变体,对该突变体进行遗传分析、基因定位与克隆,并对候选基因的功能进行初步分析。【方法】以该突变体为亲本,构建遗传分析群体和基因定位群体;通过图位克隆技术获得关键候选基因;利用生物信息学方法分析关键候选基因的结构和进化关系;通过qRT-PCR技术检测候选基因在不同组织中的表达差异;同时运用烟草瞬时表达技术对候选基因进行亚细胞定位表达分析。【结果】鉴定了一份玉米永久性失绿突变体chs10(Permanent chlorosis 10),chs10自V2时期开始,叶片从幼苗基部到顶部逐渐由绿转黄,后期的生长发育过程中不再复绿,并且,整个植株包括叶鞘、叶环、茎秆、苞叶和雄穗也均为黄色。该突变体受一对隐性核基因控制,可稳定遗传,植株生长发育正常,可正常授粉结实。突变基因被定位于玉米第10染色体长臂标记SNP-2和SNP-3之间约0.17 Mb范围内,确定了关键候选基因Zm00001d025860,qRT-PCR结果显示Zm00001d025860在玉米根、茎、叶和叶鞘中均有表达,但在叶片中高表达,亚细胞定位结果显示目标蛋白被定位在细胞膜和叶绿体中。利用STRING预测发现Zm00001d025860与卟啉结合蛋白GUN4基因互作,GUN4与叶绿素合成中的镁离子螯合酶(MgCh)具有反馈调节作用。【结论】Zm00001d025860基因的突变导致突变体chs10叶色的改变,并且Zm00001d025860可能通过参与叶绿素合成途径来调控叶色变化。突变体chs10的发现一方面丰富了玉米叶色突变体研究的基因资源,同时为解析镁离子螯合酶在叶绿素合成途径中的作用机理奠定了材料基础。