digital-holographic-image

一种新的彩色图像去噪与增强模型(A new color image denoising and enhancement model)

应用MATLAB小波工具箱中的一维小波包分析函数,采用默认阈值、调节后的阈值两种方法对含噪声的信号进行处理,并以一可见吸收光谱降噪为例,说明该方法在信号降噪中有效可行. (Application of MATLAB wavelet toolbox one dimensional wavelet packet analysis function, using the default threshold value, the adjusted threshold value of two kinds of methods including noise signal processing, and with a visible absorption spectrum noise reduction as an example to show the method is effective in signal noise reduction is feasible. )

利用opencv工具包的图像缩小程序利用opencv工具包的图像缩小程序利用opencv工具包的图像缩小程序(image shrink with opencv image shrink with opencv image shrink with opencv)

利用BCB编程，实现JPEG图像选择加载功能，并在TChart控件上显示图像的灰度直方图(The use of the BCB programming, loaded JPEG image selection and image histogram on in TChart controls)

图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好(Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better)

基于颜色特征向量的粒子滤波跟踪程序，修复了因粒子超过窗口范围出现ERROR的BUG，还包括了一些有助于粒子滤波学习的资料！！(color-based particle filter tracking, some bugs have been fixed, some information about PF Tracking is included too!!)

用matlab写的sift算法的全过程，用于提取特征点，是图像识别的一种好算法(The algrithm of sift)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

说明：  Calculate the Laplacian of an image, can be accelerated by the GPU.

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)