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xwbz

于 2020-11-20 发布 文件大小:1KB
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下载积分: 1 下载次数: 9

代码说明:

  相位编组提取长直线的强弱文理,用于灰度图像明显的图像的处理(Marshalling phase extraction strength ARTS long straight, clear images for grayscale image processing)

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    基于颜色累加直方图的图像检索,可供初学者参考,matlab编程实现(Cumulative color histogram-based image retrieval, reference for beginners, matlab programming)
    2009-03-31 10:14:08下载
    积分:1
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  • test
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    2013-01-10 15:13:08下载
    积分:1
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    灰度差分统计法提取图像纹理特征,包括平均值,对比度,熵,等特征,matlab函数,直接接使用,无需修改,中文注释,通俗易懂(Gray difference statistical method is used to extract texture features of image, including mean value, contrast, entropy, etc., matlab function, directly used without modification, Chinese annotation, and easy to understand)
    2021-04-17 15:08:53下载
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    使用山头(hill)标记法,对显著图寻找显著区域,(hill mark)
    2015-10-11 10:25:12下载
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    2007-05-31 16:29:37下载
    积分:1
  • 銆愬井淇″叕浼楀彿 浼犻榿搴撱?Shape Collage
    此程序可以帮助您管理以及排版您的图片集,效果美观(This program helps you to manage and typeset your photo collections with beautiful results)
    2018-05-05 15:11:14下载
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    可以用于图像分割的KNN分类器,简单好用!(knn classification)
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    针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下,b标状态估计不稳定和b标可观测性车弱的问题,提出了一种基于序贯融合的粒子PH D滤波方法,利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波,丙将红外传感器滤波结果作为雷达的预测值,然后利用P达观测的数据进行更新,这样通过雷达和红外传感器交替上作保证目标状态的可观测性,从滤波器输出结身即可得到目标的状态信息仿真结果表明,在虚警、漏检和密集目标环境下,该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )
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