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examplw5_10
这是冈萨雷斯版数字图像处理中的几个函数的实现,包括gmean,以及书中的例题5.7和5.10。(This is the realization Gonzalez version Several digital image processing functions, including gmean, and examples in the book of 5.7 and 5.10.)
- 2015-04-01 10:22:46下载
- 积分:1
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Morph
经典的数字图像处理的形态学处理,包含源代码(Digital image processing morphological processing)
- 2012-12-02 18:32:24下载
- 积分:1
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domin
这是一款适用于初学者的应用程序,它可以帮助我们处理图形图像(This is a beginner for the application, it can help us to deal with graphic images)
- 2009-05-14 09:05:23下载
- 积分:1
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bianhuan
利用霍夫变换检测直线,园,椭圆,曲线,简单有效,用用方便(Using Hough transform to detect straight lines, park, oval, curve, simple, effective, easy to use with)
- 2011-04-26 10:53:12下载
- 积分:1
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cuvsor
snakes are a variational technique to find the best contour,(Snakes are a variational technique to find the best contour,)
- 2017-05-03 17:38:54下载
- 积分:1
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gvf_snake_MATLAB
一个很实用的GVF SNAKE程序,对于新手来说,可以通过代码的学习,掌握GVF SNAKE的意义和处理步骤(A very practical GVF SNAKE procedures, for the novice, it can be through the code learning, GVF SNAKE grasp the meaning and processing steps)
- 2008-04-30 15:47:50下载
- 积分:1
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zt
说明: 图像高斯滤波,再边缘检测中,首先要用到高斯滤波(images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !)
- 2005-09-24 18:51:13下载
- 积分:1
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lane-detect
说明: 车道线检测,对道路的车道线进行检测,检测道路线(Lane line detection, detect the lane line of the road, detect the road line and extract it)
- 2020-06-04 21:14:48下载
- 积分:1
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GUI
对matlab中的GUI界面设计进行讲解并附有案例,例如如何进行界面菜单和控件设计,不同GUI之前函数传递,并讲解了如何调用自身函数(Matlab GUI interface design to explain the attached case, for example, how to interface menus and controls design, the different GUI function is passed before, and explain the how to call its own function)
- 2012-12-17 23:58:33下载
- 积分:1
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hongwaileida
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.
)
- 2012-03-06 16:27:41下载
- 积分:1