matlab实现国旗识别

Image analysis to create a histogram in python language

说明：  这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

置信度传播算法，用于恢复双视点图像中的物体深度(Belief propagation algorithm which is used to recover the depth of objects in dual view images)

采用最小均方差法对虹膜瞳孔定位，虹膜外圆定位，归一化及其增强处理，圆拟合(Using least-mean-variance method of positioning the iris pupil, iris outer location, normalized and enhanced handling, circle fitting)

本人研究生阶段做的项目，线结构光视觉传感器的标定中的激光光条中心的提取。 1、通过JPG、PCX、GIF解码方法，来打开BMP、JPG、PCX、GIF格式图像。 2、大津展之法阈值变换，效果较好。 3、三种细化方法，Rosenfold细化、Hildith细化、Pavlidis细化。 4、基于灰度重心法的全分辨率的激光光条中心亚像素坐标的提取。(Calibration )

对Lorenz系统混沌吸引子的仿真，直接能用。(The simulation of the chaotic attractor of the Lorenz system can be used directly.)

说明：  图像的DCT变换 提取高频分量 和低频分量 (DCT change)

水表指针识别系统，能够从外部导入任何一个bmp图像，最好是水表图，能够对该图形操作并读出图中水表的度数 (meter target identification system from the outside into any one bmp image, preferably meter map, Graphics to be able to operate and read out the map meter reading)

3dx的作业，一个不错的程序，难度易(3dx operations, it is a good procedure, the difficulty Yi)

图形学DDA算法(graphics algorithm)