EdgeColor

旁瓣消隐技术在雷达中的应用,包括旁瓣消隐技术的解释(something for slb)

图像分割，双峰法.显示直方图，根据直方图确定阈值，并根据次阈值进行图像的风格(segmation)

在工程运用中，我们往往在卡尔曼滤波器后端连接平滑滤波器构成平滑卡尔曼滤波器，来加强滤波性能的改善，程序通过简单输入信号 在增加随机观测噪声情况下 在平滑卡尔曼滤波前后进行观测对比，可得平滑卡尔曼滤波性能得到了改善。(In engineering application, we often back-end connections in the Kalman filter Kalman smoothing filter the smoothing filter, to enhance filter performance improvement program by simply increasing the input signal in the case of random measurement noise Kalman filter before smoothing contrast observation can be obtained Kalman smoothing performance is improved.)

基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。(Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-frequency part of the non-linear.)

这个是老师给我的英文翻译的文献，对于要找关于数字音频水印研究的同学有帮助。(This is the teacher gave me the English translation of literature for students to find on a digital audio watermarking.)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

说明：  灰度图像二值化及目标提取和质心求取,Matlab代码.对初学者学习有用(Gray image binarization and target extraction and center of mass strike, Matlab code. Learn useful for beginners)

在Matlab中建了图形用户界面，采用不同特征提取方式，如gray，color，lbp，灰度共生矩阵GLCM等，对数据集中的影像进行场景检索。(Graphic user interface is built in Matlab. Scene retrieval of images in dataset is carried out by using different feature extraction methods, such as gray, color, lbp, gray level co-occurrence matrix (GLCM).)

c# 一维码生成 实例源码下载

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)