基于最小阈值法的棉花幼苗识别研究

 面对纯机械式分苗机构经常出现的漏分和多分的问题,本文提出使用基于最小阈值法的图像识别技术对棉花幼苗进行识别和分离。使用了HSV颜色空间内与光照条件无关的H值将RGB真彩色图像转化为灰度图像,以提高图像处理的实时性。基于最小值阈值法,提出一种能够有效地将处于复杂背景下的棉花幼苗茎部图像提取的方法,使用棉花幼苗茎部图像的面积和长宽比等几何信息能有效识别棉花幼苗,并得到棉花幼苗茎部的重心坐标。本文的研究证明了用图像处理中的最小阈值法识别棉花幼苗是可行的。     

计算机视觉技术在水稻氮素营养诊断中应用的研究进展

为探究水稻冠层外观特征与水稻氮素营养状况的关系,综述了应用计算机视觉技术进行水稻氮素营养诊断的基本思路及研究进展。主要分述了常规性水稻氮素营养指标的获取,水稻冠层图像的获取、预处理以及特征的提取与优化,水稻氮素营养诊断模型建立的方法等方面的内容。指出近地面水稻冠层图像的获取方法、水稻图像处理方法、多种综合性特征的优化选择方式都有待进一步研究,应用机器学习进行水稻氮素营养诊断建模的方法需要更加深入探究。今后应加大计算机视觉技术在水稻氮素营养诊断相关研究中的应用,将多种图像处理方法、特征优化选择方法与机器学习建模方法相结合,并探寻更为简便易行的方法进行水稻氮素营养诊断。     

图像识别技术在树木年轮分析中的应用进展

图像识别技术在树木年轮学研究中具有重要的地位和实用价值。在了解树轮图像分析技术发展历程的基础上,介绍了图像处理新技术在树木年轮分析中的应用,综述了国内外的研究进展。从研究区域、思路与方法、应用领域等方面详细综述了国内最新的研究进展。概述了研究存在的问题及未来的展望。结论表明,图像识别技术能够取代树轮实验分析中常规的人工操作,可以大幅度提高实验分析的自动化程度、量测的精准度以及工作效率。虽然图像识别技术在树木年轮实验分析中仍处在起步阶段,但是其超强的技术优势和发展前景已经显现。     

Inspection System for Original Value of Material Decay Based on Image Search Technology

The original value monitoring for material decay is to make use of the video frequency technique, the computer image processing technique and mode identification technique for examination, processing and management of decay image of the material external appearance. In this paper the color characteristic and the veins characteristic of material decay are analyzed and the method and technique to withdraw the characteristic of material decays and to match the image contents are given; thus the search of the material corrosion imagechara cteristic information is realized.     

基于OpenCV的Android手机植物叶片几何参数测量系统

通过Android 手机对植物叶片图像进行处理以测量其长、宽、周长、面积等几何参数,避免其他测量方法的缺点,提高数据采集效率。首先,获取含有已知尺寸矩形框的叶片图像。然后,对图像进行校正以消除倾斜失真。在校正阶段,采用了更为鲁棒的特征点检测法代替可能出现错误结果的Hough 变换法来处理矩形框,得到其4 个角点。根据求得的角点与标准图像的角点对图像进行映射得到校正图像。最后,处理校正图像计算叶片几何参数。参数计算提出以叶片轮廓为基础的方法,所有参数均通过对轮廓的处理求出,提高了计算效率。此外,基于轮廓求面积不需要对叶片进行形态学处理消除空隙及不连续,还可避免统计像素方法中将噪声像素误认为叶片造成的计算不精确。在求叶片长、宽时,给出了2 种方法供用户根据叶片实际形状选择。另外,在编程方面,采用了OpenCV-Android-SDK,大幅提高了图像处理速度。结果表明,精确度测试中,对打印出的规则图形几何参数测量的结果误差均在2%以内;而实际叶片的测量结果中长、宽的误差在2%以内,周长误差小于4%,面积误差低于3%。耗时测试中,相同图像处理算法采用OpenCV后,处理速度明显提升;对多部不同配置手机的测试中,处理1 幅分辨率为2448×3264 的叶片图像的耗时均在3 s 以内。另外,对于同一叶片图像,不同手机测量的结果完全一致。实验表明,该系统不仅操作简单、速度快、通用性强,而且对叶片几何参数的测量精确度也较高。     

苹果表面伤痕与果梗和花萼的辨识及检出方法

针对在水果表面品质检测的图像处理中,苹果的果梗和花萼很容易被错误辨识成缺陷,提出一种自动识别出苹果缺陷,并计算其大小的图像处理算法,如图像分割、图像去噪、区域标记与提取、感兴趣区域提取等,设计出一种能将采集到的苹果图片进行正确处理后,识别出果梗和花萼,得到真正缺陷大小的图像处理算法。运用C++语言进行编程,采用MFC基于对话框的非模态形式设计了图像处理软件,处理采集到的苹果样品图片,结果表明,该算法能正确计算缺陷大小,并且能得到果梗和花萼的辨识依据,可用于水果表面品质实时检测中。     

Inspection System of Material Decay Based on Image Retrieval Technology

Monitoring the material decay make use of the technique of video, computer image processing and pattern identify to detect, process and manage the external material decay image. The color character of the external material decay image are analyzed. The statistics character of the material decay image is pick-up by color histogram, color coherence vector and color correlogram. The comparability of the material decay image is presented by Euclidean distance of the color character. The match and query system of material decay based on image retrieval technology is implemented.     

Design of PACS Based on SAN Structure

In general hospitals more and more image information has been created, it is critical to have an efficient and convenient way to store, rapid transmission and processing. A new idea of online permanent storage based on SAN structure for image files is presented and a Picture Archiving and Communication System(PACS) design project based on SAN structure is discussed.     

Video Signals of a Self Scanned Photodiode Array Image Sensor

When self-scanned photodiode array image sensors are applied in object measurements, the outer sizes of the object are included in the video signal of image sensors. The identification and measurement of the object ,and the enhancement of the performance is depended on the symbol extraction of the video output signals. Based on the working principles of self-scanned photodiode array image sensors, the mathematical models of image sensor's video signals are established when the moving object is captured. The comparative method and the measurement error are researched. The results of this paper provide a theoretic basis for the research of video signals processing.     

MATLAB在储粮害虫图像处理中的应用

在对粮虫图像处理过程中,介绍了Matlab图像处理工具箱中的函数,实现了图像处理与分析的技术,边缘检测及轮廓提取,通过形态学方法进行图像特征抽取与分析,采用小波变换的处理方法去除粮虫图像噪声,达到了比较好的效果。     

板栗图像的低层处理及边缘检测

分析了板栗品质检测中的图像低层处理方法,并进行了边缘检测。利用白色背景下,图像的R分量灰度直方图进行图像与背景的分离,利用imcontour函数得到虫害板栗的边缘图像,为识别正常板栗与虫害板栗提供了基础。     

Application of DMA in Realtime Image Processing

Direct memory access(DMA)is an important technology used for fast speed data transfer in data signal processor(DSP). DMA is able to move data block independent of CPU, and this capability meets real time image processing. TMS320C6201 DSP is taken as an example, and DMA controller characteristic is introduced. According to DMA application in realtime image processing, the specific control ways and realization steps are given out. The research result shows that the flexible control DMA can not only raise image data transfer efficiency but also improve DSP speed.     

Research and implementation on handwritten numeralrecognition technique based on fuzzy mode

Based on simulation and numeral recognition of the 24-bit bmp images of postal codes obtained by CCD transducer, a binarization method based on coloring matter is proposed, which is employed to extract the binary image of the frame line of postal code and the binary image of the mail character separately. The procedure of image processing is analyzed, which includes detecting and separating borderlines of postal code frames, image binarization, smoothing noise-removal, slant rectification, extraction of postal code numerals, position normalization processing, subdivision of digital image, feature extraction of character recognition, and so on. The pretreatment process of image recognition is described. Then, character feature extraction is conducted for pretreated images, while the angle correctness for postal code frames and characters is performed. Finally, the recognition result is determined. In this method, the difficulty of separating frame line from postal code character line is eliminated. In order to improve recognition rate, the combination of many methods of handwritten numeral is used, resulting in improved recognition rate of postal codes. The experiment shows that this method can obtain higher recognition rate, providing reference for the separation technique in postal system.     

Analysis Method for Outdoor Thermal Environment of Residential Community

The physical model was simple in current outdoor thermal environment research, thus a new analysis method based on image processing was presented. With the combination of image processing and mathematical model, the new method was used to analyze the outdoor thermal environment of residential area and was validated by the comparison between the data from experiment and simulation. The results provide a new method for the simulation of outdoor thermal environment.     

Multi-yesolution Encoding of Medical Image in PACS

It is necessary to transmit and review medical images effectively in PACS (Picture Archive & Communication System, PACS) , and multi -resolution encoding can improve image compression efficiency. The progressive property of 2D image wavelet transform is studied, and a multi - resolution medical image encoding method is described. This encoding method means that, the lower frequency subimage in wavelet domain should be encoded prior to those higher frequency subimage. Also, in the medical image process of transmission and reviewing, the same order will be followed. The experiment has improved that the proposed method can speedup the medical image transmission and reviewing in PACS effectively.     

Study on ANN Based Character Recognition

The theory of Artificial Neural Networks and image processing are analyzed. ANN theory is also investigated . A Back Propagation network is used for classification. Based on the ANN and feature extraction, a character recognition and entry system is developed. Its drawbacks are discussed. Some solutions are presented. An odd feature database is constructed to promote the performance for learning. A 3 layer feedforward network has been proved that it has the ability to identify hand written characters.     

Siebsortierung von Getreide mit Hilfe der quantitativen Bildanalyse

Sieve grading of cereal kernels by means of quantitative image analysis
In former investigations several possibilities to apply computerized quantitative image analysis (CQJA) in the field of crop science have been reported. In the present studies applicability of this technique have been tested to accurately determine sieve grading of barley kernels. Accordingly, CQJA seems to be appropriate for measuring and processing digitalized image information of the respective length and thickness of grain kernels both, at high velocity and precision, and it can be done at any classification of kernel sizes. Contamination of the cereals by broken grain and/or other non-grain material can be discriminated by integrating threshold levels of minimum and maximum diameters respectively. It is argued that major advantages of the proposed automated CQJA-equipment could be (1) control of sieve grading and calibration processes of seeds and (2) sieve grading of the kernels of individual ears for breeding purposes.     

牧草观测自动化技术研究与系统设计

针对内蒙古自治区生态观测需求,特别是草地生态系统观测需求,选取牧草观测为研究内容,提出基于嵌入式技术和并行计算技术的实时远程可控可视的牧草观测自动化技术思路。采用特征像素图像识别方法,实现牧草覆盖度的自动测量、牧草的发育期图像自动识别。利用摄影测量技术结合图像处理技术获得像高转物高变换算法,实现层高与株高的自动测量。结合现代电子技术以及DSP技术、图像处理技术设计了牧草自动观测智能传感器,传感器在观测前端完成图像采集、处理与模式识别后,再将处理后的结果通过网络传向服务器端,可通过智能手机或PC访问服务器远程查看观测数据,实现牧草覆盖度、层（株）高以及牧草生长期的自动观测。测试结果表明,图像处理与实测覆盖度数值显著相关检验R_0.05>0.90,与实测株高数值显著相关检验R_0.05>0.85。相对于在后端PC系统进行图像处理,不但可以提高观测系统的数据运算处理速度,而且鲁棒性好,同时能够大大减轻数据传输压力,适合对体积、功耗、工作环境及稳定性要求极高的场合。     

Parallel Optical Method in Laser Speckle Velocimetry and Particle Image Velocimetry

A method of parallel optical processing of double exposure specklegram or particle image using hololens array is presented.It can greatly decrease the processing time because the mechanical moving time of the X Y translation stage is decreased by tens of times.     

Design of Vision System Based on Service Robot

A vision system based on the service robot is involved. In the system, picture signal is acquired by the picture sensor OV7635. Frame memory AL422B is used as data buffer memory, while CPLD controlled the time order DSP performed. In the software system of image processing, to accomplish color image segmentation and recognition, the threshold vector judgment and improved seed-fill algorithm is introduced, and the image geometric moment is calculated during the segmenting. In order to achieve a vision servo system which composed of image-based feedback and adaptive compensation, the deduced matrix-based Jacobian from the image moment is taken as image feature. Adopted the TFT LCD is adopted to straightly disolav the result of vision recognition and vision tracing.