长白山旅游形象价值及旅游传播作用——长白山旅游文化系列研究

分析了休闲旅游业的形象产业属性与价值,探讨了长白山科学文化资源与旅游形象定位,对长白山休闲旅游地旅游形象的传播进行了研究,指出了长白山休闲旅游景区的导游产品及导游服务要成为长白山旅游形象的传播者,以此树立长白山国际休闲旅游名山的科学形象、文化形象、诚信友善的形象,获得满意体验的旅游者是旅游景区形象的最忠实的传播者。     

基于时空域联合信息的高原鼠兔运动目标检测

自然场景下的高原鼠兔序列图像对比度低,边缘较弱,目标包含多色彩且目标运动具有突变性。针对传统运动目标检测方法不能精确提取多色彩目标轮廓的问题,提出一种基于时空域联合信息的运动目标检测方法。首先,利用背景减法确定当前帧图像中目标的形心位置,得到粗分割图像及初始轮廓,然后用改进Chan-Vese(CV)模型对粗分割图像进行分割,改进Chan-Vese模型对多色彩目标图像适应性强,从而获得精确的目标轮廓。鉴于几何活动轮廓模型在图像分割过程中需不断初始化水平集函数,且初始化计算量随图像规模的增大而增多,该文在背景减法获得目标形心的基础上,以形心为中心,截取包含目标的图像块作为粗分割图像,然后利用改进Chan-Vese模型对粗分割图像精确分割,以减少分割耗时。该文对包含50帧图像的视频处理,试验结果显示:该文方法耗时仅为15.25 s,相似度指数平均为0.852 929,Jaccard指数平均为0.744 57。和背景减与CV模型相结合的运动目标检测方法相比,该文方法过分割率低,无冗余轮廓,且耗时短;和背景减与改进CV模型相结合的运动目标检测方法相比,该文实时性更高;该文所提出的目标检测方法可精确提取目标轮廓且实时性高。     

多源卫星遥感影像进行土地利用变化监测

Due to inappropriate planning and management, accelerated urban growth and tremendous loss in land, especially cropland, have become a great challenge for sustainable urban development in China, especially in developed urban area in the coastal regions; therefore, there is an urgent need to effectively detect and monitor the land use changes and provide accurate and timely information for planning and management. In this study a method combining principal component analysis (PCA) of multisensor satellite images from SPOT (systeme pour l'observation de la terre or earth observation satellite)-5 multispectral (XS) and Landsat-7 enhanced thematic mapper (ETM) panchromatic (PAN) data, and supervised classification was used to detect and analyze the dynamics of land use changes in the city proper of Hangzhou. The overall accuracy of the land use change detection was 90.67% and Kappa index was 0.89. The results indicated that there was a considerable land use change (10.03% of the total area) in the study area from 2001 to 2003, with three major types of land use conversions: from cropland into built-up land, construction site, and water area (fish pond). Changes from orchard land into built-up land were also detected. The method described in this study is feasible and useful for detecting rapid land use change in the urban area.     

基于自适应域值分割与力矩的棉花异性纤维分类方法

为能够准确统计出棉花中所含异性纤维的重量和数目,提出一种机器视觉与图像处理技术,对棉花异性纤维进行检测分类。在提取棉花异性纤维原始图像的基础上,采用灰度处理和滤波技术完成图像的预处理,采用自适应域值技术来完成棉花异性纤维图像分割,在分割出的二值化图像基础上,采用挖空内点法和邻域搜索法进行轮廓提取,提出以异性纤维轮廓的面积与周长平方之比作为力矩,对棉花异性纤维进行分类。通过对300个棉花异性纤维样本图像进行了试验,分类准确率可以达到96%。结果表明该技术和分类力矩可以准确的对棉花异性纤维进行初分类。     

基于单目视觉的田间菠萝果实识别

菠萝果实的准确识别是菠萝采摘机器人视觉系统的关键。针对田间复杂环境中的青色菠萝,采用图像处理技术、数学形态学方法,识别菠萝果眼,并获取果眼的中心点信息;引入层次聚类分类方法,对多个中心点进行聚类分析;求取最多点集的中心坐标,作为菠萝区域的近似形心。选用在广东湛江菠萝田间拍摄的35幅图像作为评价样本,经过运算,迎光条件下形心识别正确率达到85%。本研究为菠萝采摘机器人的田间果实识别提供了有效的技术方案。     

Index System of Sub-Microstructure Analysis System of Asphalt Concrete(MASAC)

Based on the study of image processing algorithm,the Sub-Microstructure Analysis System of Asphalt Concrete(MASAC) suitable for Windows Operating System was specially programmed.In this paper the index system of MASAC is chiefly illustrated and the functions of a part of indexes are briefly introduced.The index system is classified into 5 types,i.e.characteristics of aggregate particles,arrangement of aggregate particles,contact among aggregate particles,air voids between aggregate particles and distribution of aggregate particles.By analysis for the microstructure of asphalt concrete,it can be used to investigate the internal relationship between asphalt concrete microstructure and macro-performance,and evaluate the asphalt mixture homogeneity.     

Representation of Uncertain Area in Image Based on Cloud-model

Aiming at the problem of representation of regions in the process of image processing, the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model. In two-dimension universe of discourse of image, the linguistic term of the polygons, which have uncertain edge, can be accomplished by relaxation iteration. The linguistic term of the polygons can be considered Cloud-core of Cloud-model. Based on the characteristics of pixels of transition region of fuzzy edge, Object-clouds of polygons can be constructed by Backward-cloud-generator. So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud. Experiments testify the method. It enriches the cloud theory, and proposes a new idea for image comprehending and analyzing, especially remote sensing image.     

Detecting Technology of Cabel Surface Defect Based on DSP and Image Recognition

The damage of bridge cable directly hazards the normal use of bridge and the safety of people. The paper discussed the signal acquisition and detection system which takes embedded DSP processor as core technology, combined with CCD, video decode chip, SDRAM, FLASH ROM, and established the fast measuring algorithm of the surface corrosion and damage, which includes deteminating the processing region, improving medium filter, sobel edge detection and dynamic threshold segment, close operation of morphology, computing defect area and saving. The experimental resuits show that this method implemented the real-time, non-contact and intelligence detecting of cable surface defect and gives the specifications of the system.     

蝗虫切片图像Shannon-Cosine小波精细积分混合降噪

在显微镜下采集到的蝗虫切片图像通常同时具有高斯噪声和椒盐噪声。利用同时具有插值性、光滑性、紧支撑性及归一化特性的Shannon-Cosine小波,构造了多尺度插值小波算子,进而构造了去除图像中混合噪声的小波精细积分法。该方法在稀疏描述切片图像时,通过设置稀疏表示阈值,直接消除图像中的椒盐噪声;将图像的Shannon-Cosine小波稀疏表达式直接代入图像降噪P-M模型,将该模型变形为非线性常微分方程组,采用精细积分法求解,可实现图像的保边降噪,消除图像中的高斯噪声。实验结果表明,在满足降噪要求的情况下,本文方法可以较好地保持蝗虫切片图像中的各种纹理结构;随着高斯噪声方差由0.02增加到0.10,降噪图像的PSNR下降了11.67%,远低于其他方法。说明本文方法在处理蝗虫切片图像时具有较强的鲁棒性。采用本文方法描述蝗虫切片图像时,特征像素点只占图像像素总数的10%左右,有效降低了问题规模,提高了求解效率。     

改进田间杂草识别图像预处理方法的研究

机器视觉系统采集到的田间杂草图像在分割之前,需要对图像进行预处理来改善图像的视觉效果。为了提高图像的预处理效果,针对杂草图像的特点,在多级加权中值滤波算法的基础上,增加3个不同大小尺寸的二维滤波掩膜,使得在去除噪声的同时尽可能保留了更多的细节特征,从而改善了田间杂草图像的滤波效果。