Description: Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 给出了一种新的基于小波多尺度分解的分层图像融合方法. 其基本思想是先对源图像
进行小波多尺度分解 其次, 按照融合规则, 采用基于区域特性量测的选择及加权算子去构造融
合图像对应的小波系数 最后, 通过逆小波变换重构融合图像. 该方法被成功地用于图像的融合
处理. 此外, 利用熵、交叉熵、互信息、均方根误差、峰值信噪比等参量, 对该融合方法的融合性能
进行了评价与分析. 实验结果表明, 该融合方法是十分有效的- A novel h ierarch ical image fusion scheme based on wavelet mult iscale de2
compo sit ion is p resented. The basic idea is to perfo rm a wavelet mult iscale decompo si2
t ion of each source image first, then the wavelet coefficient s of the fused image are
const ructed using region2based select ion and weigh ted operato rs acco rding to different
fusion rules, finally the fused image is obtained by tak ing inverse wavelet t ransfo rm.
Th is app roach has been successfully used in image fusion. In addit ion, w ith the use of
the parameters such as ent ropy, cro ss ent ropy, mutual info rmat ion, roo t mean square
erro r, peak2to2peak signal2to2no ise rat io, the perfo rmance of the fusion scheme is e2
valuated and analyzed. The experimental result s show that the fusion scheme is effec2
t ive. Platform: |
Size: 385024 |
Author:liuzhao |
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Description:
拉格朗日插值 三次样条插值 传感器静态特性及指标 图像测量中镜头的参数及选择 一个基于物联网的测控实例 GPS系统构成及作用 gpS系统的空间坐标系 北斗系统简介 视觉系统硬件组成及功能 人眼可辨别的最小打印点直径的估计 面积测量方法流程及优缺点圆测量方法及椭圆测量难点 光敏电阻应用——声光双控LED实验 气敏（酒精）传感器实验 正六边形面积测量 多光照图像融合 多聚焦图像融合-The Lagrange interpolating cubic spline interpolation measurement sensor static characteristics and indicators image lens parameters and select a composition and functions of the human visual system hardware based on the space coordinate system Beidou system monitoring and control instance GPS system constitutes, and role gpS system of Things About estimated area of measurement of the diameter of the smallest discernible eye print dots process and the advantages and disadvantages of circle measurement method and oval difficult measurement photoresistor application- sound and light double control the LED the experiment gas sensing (alcohol) sensor experiment regular hexagon area measuring multi-light image integration of multi-focus image fusion Platform: |
Size: 2700288 |
Author:郭志 |
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Description: D-S证据理论数据融合，模拟数据分析处理的过程，IMC-PID是利用内模控制原理来对PID参数进行计算，基于人工神经网络的常用数字信号调制，仿真图是速度、距离、幅度三维图像，进行逐步线性回归。- D-S evidence theory data fusion, Analog data analysis processing, The IMC- PID is using the internal model control principle for PID parameters is calculated, The commonly used digital signal modulation based on artificial neural network, FIG simulation speed, distance, amplitude three-dimensional image, Stepwise linear regression. Platform: |
Size: 6144 |
Author:ynshtq |
Hits:
Search - parameters on image fusion