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dynamic threshold中文是什么意思

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  • Secondly , this paper introduces the detection of static goal especiallyrusing dynamic threshold value to transform the gray level picture into two black - and - white value picture , so that we can separate target from complicated background of the picture ; making and matching the template , in order to orienting the position of the target ; utilizing the law of projection , in order to orienting the center of the cross of the target
    其次,本文重点介绍了静态目标的检测。静态目标检测的过程:采用动态阈值分割,将灰度图像转化成黑白二值图像,把靶标从复杂的图像背景中分离出来;制作模板,使用模板匹配的方法,定位靶标的位置;利用投影法,定位靶标的十字中心。
  • In order to evaluate the eco - economic adaptability of crops production , the concepts and calculative methods of ecological potential capacity and market potential capacity were put forward , the dynamic threshold value system of the indexes for the economic adaptability of different crop - region combinations was established , the calculative method of the single eco - economic adaptability indexes , the comprehensive eco - economic adaptability indexes which reflects the principle of minimum factor and the apparent eco - economic adaptability indexes and the regional comprehensive apparent eco - economic adaptability indexes which reflects practical situation of crops production were built up . 12 representative counties in jiangsu province were selected to analysis , and 77 combinations of eco - economic adaptability indexes , apparent eco - economic adaptability indexes of crop - region and 12 regional comprehensive apparent eco - economic adaptability indexes were obtained
    摘要为评价作物生产的生态经济适宜性,提出了生态容量潜势和市场容量潜势的概念和计算方法,建立了适用于不同作物地区组合的、各指标阈值具有动态性的生态经济适宜性评价指标阈值体系,构建了单生态经济指标适宜性指数及反映最小因子定律的综合生态经济适宜性指数、表现作物生产现状的表观生态经济适宜性指数和地区综合表观生态经济适宜性指数的计算方法。
  • In the image preprocessing that includes image smoothing and linear gray level transformation , the author brings forward a mended linear gray level transformation based on mean of gray value to enhance the image contrast . in the segmentation the paper presents an arithmetic taking the area of the pointers and construction feature of the water meter into consideration , which can extract the part of pointers in the special space of the water meter , and then binarizes image using a dynamic threshold based on the area of the pointer . the design can enhance the recognition rate for the next step
    在预处理中提出了一种基于灰度期望的分段线性变换;对水表的图像分割,提出基于面积和结构信息的二值化自动分割,包括基于结构和灰度特征的哈夫变换分割法(指针信息区的提取)和基于指针面积的特征的阈值分割(指针提取) ;针对指针图像的非均匀光照、背影等干扰,提出基于多特征的分区模板匹配法对指针的方向进行识别,从而计算出读数。
  • This thesis explains the necessity of the character recognition technology of the computer at first , describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition , including two value , line segmentation , word segmentation smooth , removing noising , standardization and thinning are discussed two value concretely discusses whole threshold value , some threshold value , dynamic threshold value and utilize space information to carry on threshold , which are several kinds of common method of choosing threshold value , especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology , thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards , according to principle ' s diagram of the on - line character recognition , by analyzing the structure feature of the handwritten numeral , this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device . detail narrated noise removing , stroke characteristic definition and discernment , distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation , off - line handwritten numeral recognition is researched . especially minimum distance classifying device , tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time , believes degree analyses are introduced to integrate a lot of classifying devices ; at the end , the typical application of the handwritten numeral recognition was briefly narrated , its application in extensive data statistics , financial affairs , tax , finance and mail sorting have been explored
    二值化时对整体阈值二值化、局部阈值二值化、动态阈值二值化和利用空间信息进行阈值选取几种常用的阈值选取方法进行讨论,特别对利用空间信息进行阈值选取进行了详细论述;在对通过对基于数学形态学的细化的基础上,讨论序贯同伦形态细化算法和保形的快速形态细化算法;然后依据联机字符识别原理框图,分析了手写数字的结构特点,提出了基于笔划特征的任意手写数字在线识别技术和基于多级分类器任意手写数字在线识别技术,对其中涉及的笔划识别前的噪声处理、笔划间特征量的定义及识别、整字匹配的距离准则进行了详细叙述;继而在对手写数字的分割的基础下对脱机手写数字识别进行了研究,对基于最小距离分类器字符识别、基于树分类器的字符识别、基于自适应共振( art )网络的字符识别分别进行了详细讨论,并引入置信度分析将多个分类器进行了混合集成;最后简单阐述了手写数字识别的典型应用,对其在大规模数据统计、财务、税务、金融及邮件分拣中的应用进行了探索。
  • In this paper , the part of apis based on minutia features includes mainly computing orientation , filtering , binarization , thinning , feature extraction , postprocessing and minutia matching ; the part of apis based on statistical features is composed of reference point location , extracting feature , classification and matching . some new approaches are brought forward : 1 ) in the preprocessing , a new binarization method of fingerprint images based on the orientation and the dynamic threshold is proposed , which has the excellent capability of noise resistance . this method makes fully use of the orientation and the characteristics of grayscale change , gets the binarized images from the primitive fingerprint images directly , instead of the series of processing such as smoothing , enhancement and binarization
    本论文对这两种系统做了深入地研究,从基于细节点特征的系统中求取指纹方向图? ?滤波? ?二值化? ?细化? ?特征提取? ?后处理,到基于统计性特征的系统中选取指纹图像参考点? ?提取统计性特征? ?分类? ?匹配等环节,都一一进行了讨论,并提出了一些新方法: 1 )在基于细节点特征系统的预处理部分,本论文提出一种新的基于方向图具有动态阈值的指纹图像二值化方法,这种算法能够在保持特征点不丢失的基础上一次性完成一般指纹图像处理中的无效块分割、增强、滤波、二值化的过程。
  • Secondly , the steps of the glass ' s image processing are discussed in detail . based on the experiments and the characteristics of interference fringe , we pre - process the images with median filter and image segmentation with dynamic threshold . after marking and thinning the resulted fringes , we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework
    然后,结合检测系统中玻璃干涉图像处理的任务,详细介绍了处理的各个步骤:通过实验比较,并结合干涉条纹图像的特点,选择中值滤波、动态阈值分割等技术对图像进行预处理;然后对获得的二值条纹进行标记、细化,提取条纹骨架;最后,用骨架的特征进行线性分析,识别条纹的类型,判断玻璃样品的均匀性。
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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