ContrastSeg

计算一个已归一化到单位区域的双峰值高斯函数(Calculation of a normalized unit area to the two-peak Gaussian function)

九点标定halcon 代码，纯halcon代码未转换成其他语言(Marking machine image recognition Halcon code)

此程序实现matlab GUI上的图像处理，包括图像加噪（高斯，椒盐等），以及图像均衡、二值，以及多种锐化方法，图像亮度调节，另外还有图像保存、对比功能。(This procedure on matlab GUI image processing, including image plus noise (Gaussian, salt and pepper, etc.), and a graphic equalizer, two values, as well as a variety of sharpening method, image brightness adjustment, in addition to save the image, the contrast function.)

图像压缩编码，dct变换，量化， Z字形扫描 行程编码(Image compression, dct transform, quantization, Z-shaped scan length encoding)

传统的相位编组，将梯度分为8个方向，对边缘检测有很好的效果。(Traditional phase grouping, will be divided into eight direction of the gradient of edge detection are very good results.)

基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大(content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance)

采用分水岭算法对图像进行分割。直接对图像进行分水岭算法，效果并不理想。本方法使用形态学重建技术对前景对象进行标记，求局部极大值，最终将分割好的图像进行伪彩色显示，让结果更加明显。适用于较复杂的图像分割处理。(Using watershed algorithm for image segmentation. Watershed algorithm for image directly, the effect is not ideal. This method uses morphological reconstruction technique foreground object is marked, find local maxima, eventually dividing good pseudo-color image display, make the results more apparent. Applicable to more complex image segmentation processing.)

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用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 (Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)

在人脸数据库中应用PCA，以及重建误差分析(Applying PCA in human face dataset and doing analysis on reconstruction differences )