基于OPENCV对图片进行灰度化，二值化，以及边缘检测-OPENCV images based on gray level transformation, binarization, and edge detection

opencv 车牌定位 得到二值图像，然后再用形态学扩张与形态学侵蚀，使得目标轮廓不会出现影响判断的断点与连接，最后根据寻找米粒的方法把车牌定位-opencv license plate location to get binary image, then use morphological dilation and morphological erosion, making the target profile will not affect the judge' s break wit

利用opencv和c++编写的大米计数程序，包含完整程序及图片-C++ use opencv prepared rice and counting procedures, including complete program and Photos