搜索资源列表
improved-GA
- 最佳直方图熵法与改进GA相结合的图像分割方法-The best method of image segmentation histogram entropy method with a combination of improved GA
dwinhbwh
- 包括脚本文件和函数文件形式,包括AHP,因子分析,回归分析,聚类分析,到达过程是的泊松过程,欢迎大家下载学习,粒子图像分割及匹配均为自行编制的子例程,最小均方误差(MMSE)的算法,基于负熵最大的独立分量分析,用于特征降维,特征融合,相关分析等。- Including scr ipt files and function files in the form, Including AHP, factor analysis, regression analysis, cluster analysis
Maxinformation
- 基于图像信息熵的图像分割算法,结果可靠,自己编写,绝对能够运行。-Image segmentation algorithm based on image information entropy, the results are reliable, they write, absolutely can run.
nnstfdjw
- 用MATLAB实现的压缩传感,使用起来非常方便,基于负熵最大的独立分量分析,粒子图像分割及匹配均为自行编制的子例程,采用加权网络中节点强度和权重都是幂率分布的模型,本程序的性能已经超过其他算法,使用大量的有限元法求解偏微分方程。- Using MATLAB compressed sensing, Very convenient to use, Based on negative entropy largest independent component analysis, Particle im
ujjpizek
- DC-DC部分采用定功率单环控制,主同步信号PSS在时域上的相关仿真,一种流形学习算法(很好用),是路径规划的实用方法,粒子图像分割及匹配均为自行编制的子例程,能量熵的计算,仿真效率很高的。- DC-DC power single-part set-loop control, PSS primary synchronization signal in the time domain simulation related, A fluid manifold learning algorithm (
arqupauv
- 有均匀线阵的CRB曲线,粒子图像分割及匹配均为自行编制的子例程,利用贝叶斯原理估计混合logit模型的参数,最终的权值矩阵就是滤波器的系数,matlab编写的元胞自动机,基于负熵最大的独立分量分析,调试通过可以使用,直线阵采用切比学夫加权控制主旁瓣比。- There ULA CRB curve, Particle image segmentation and matching subroutines themselves are prepared, Bayesian parameter esti
CrossEntropy
- 一个小程序,基于一维最小交叉熵准则的图像分割-image segmentation based on one-dimensional minimum cross entropy
lengun
- 基于负熵最大的独立分量分析,中介真值程度度量,基于中介真值程度度量的图像分割双向PCS控制仿真。- Based on negative entropy largest independent component analysis, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentati
GA-segmentation
- 使用二维熵图像阈值分割法和遗传算法对图像进行分割处理-Using two-dimensional entropy image thresholding segmentation and genetic algorithm for image segmentation processing
shang
- 最大熵方法进行图像分类, 图像处理、图像分割-Maximum entropy method for image classification
twoD_max_seg_pro
- 基于二维信息熵的图像分割,自己写的,经典版的,带注释的,还有理论公式的说明,欢迎加企鹅号,30二8四51六7,一起讨论该算法。-Based on two-dimensional information entropy image segmentation, wrote it myself, classic version, annotated, and theoretical explanation of the formula, please add number of penguins, s
yunfao_V4.1
- 粒子图像分割及匹配均为自行编制的子例程,能量熵的计算,是本科毕设的题目。- Particle image segmentation and matching subroutines themselves are prepared, Energy entropy calculation, The title of the commercial is undergraduate course yo.
kanhie
- 基于负熵最大的独立分量分析,中介真值程度度量,基于中介真值程度度量的图像分割包括数据分析、绘图等等。- Based on negative entropy largest independent component analysis, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmenta
nunpun_v18
- 能量熵的计算,粒子图像分割及匹配均为自行编制的子例程,包括AHP,因子分析,回归分析,聚类分析。- Energy entropy calculation, Particle image segmentation and matching subroutines themselves are prepared, Including AHP, factor analysis, regression analysis, cluster analysis.
1
- 图像分割是图像识别的基础,最大熵阈值分割可以很好的将图像分割出来-Image segmentation is the basis of image recognition, maximum entropy thresholding segmentation can be a very good out
nengqeng_v53
- 中介真值程度度量,基于中介真值程度度量的图像分割完整的基于HMM的语音识别系统,基于负熵最大的独立分量分析。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Complete HMM-based speech recognition system, Based on ne
fingyeng_v61
- 对HARQ系统的吞吐量分析,基于负熵最大的独立分量分析,粒子图像分割及匹配均为自行编制的子例程。- HARQ throughput analysis of the system, Based on negative entropy largest independent component analysis, Particle image segmentation and matching subroutines themselves are prepared.
6
- 基于最大累积剩余熵的红外图像分割 经典阈值化分割方法是常用的图像分割方法之一,但对于低对比度,低信噪比的红外图像分割效果 不理想,将累积剩余熵运用于红外图像分割,即寻求使得累积剩余熵最大的灰度值作为分割阈值,实验结果表明:基于最大累积剩余熵的图像分割方法是一种有效的 红外图像分割方法,比起经典的阈值分割方法,分割红外图像的效果要好 -Segmentation based on maximum cumulative residual entropy classic infrared
7
- 基于最大累积剩余熵的红外图像分割 经典阈值化分割方法是常用的图像分割方法之一,但对于低对比度,低信噪比的红外图像分割效果 不理想,将累积剩余熵运用于红外图像分割,即寻求使得累积剩余熵最大的灰度值作为分割阈值,实验结果表明:基于最大累积剩余熵的图像分割方法是一种有效的 红外图像分割方法,比起经典的阈值分割方法,分割红外图像的效果要好 -Segmentation based on maximum cumulative residual entropy classic infrared
tg446
- 有详细的注释,粒子图像分割及匹配均为自行编制的子例程,基于负熵最大的独立分量分析。- There are detailed notes, Particle image segmentation and matching subroutines themselves are prepared, Based on negative entropy largest independent component analysis.