热电厂工程电气主接线

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)

显示WMF格式位图！(show WMF format bitmaps!)

维纳滤波对图像去噪与最小二乘方滤波对图像去噪的比较(Wiener filter for image denoising with the least squares filter for image denoising comparison)

数字图象处理算法的演示，包括：图象的DFT和逆DFT，图象的FFT和逆FFT，在图象中加入正弦噪声，图象的模板运算实现图象平滑和锐化等等。(digital image processing algorithms demo, including : Image DFT and inverse DFT, FFT image and inverse FFT, in the image by adding sinusoidal noise, the template image Operational Image sharpening and smoothing and so on.)

说明：  三相不平衡的补偿方法,simulink环境下实现,不错(The compensation method of three-phase imbalance is realized in simulink environment, which is good.)

非常好的matlab检测圆形目标代码 希望能给大家带来一些帮助 喜欢的来下(Very good detection of circular object code matlab want to give you some help like to bring to the next)

连连看源代码及素材，丰富图片资源，适合初学者，大家一起来交换素材吧(Lianliankan source code and material, rich images of resources, suitable for beginners, everyone will work together to exchange material bar)

IDL读取txt，txt第一列是纬度，第二列是经度，第三列是DN值， 坐标转行列号 ，并以图像的形式输出(IDL reads TXT. The first column of TXT is latitude, the second column is longitude, and the third column is DN value. The coordinate turns the line and column number and outputs it in the form of image)

说明：  用滑动窗口中图像的灰度共生矩阵进行简单的2类纹理的分割.(sliding window of the gray image symbiotic matrix simple two types of texture segmentation.)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)