以下关于齐次坐标正确的说法是？

A. 齐次坐标最后一维数字的值不能为0
B. 一个笛卡尔坐标可以对应无数的齐次坐标
C. 齐次坐标转换为笛卡尔坐标只需要将每一维数字除以最后一维数字，然后将最后一维去掉就可以了
D. 应用齐次坐标可以统一平移变换、旋转变换、比例变换和剪切变换的形式

以下是自动对比度调整的函数，填空完成。/*输入参数：unsigned char *img8位灰度图像位图数据首地址int count图像像素个数输出参数：unsigned char *img8位灰度图像位图数据首地址功能：8位灰度图像的自动对比度调整*/void AutoContrast(unsigned char *img,int count){//求取图像中的最小像素值和最大像素值int grayLow = 255, grayHigh = 0;int i;unsigned char *p = img;for(i = 0; i < count; i++){if(*p < grayLow) grayLow = *p;if(*p > grayHigh) grayHigh = *p;p++;}if(grayHigh - grayLow == 0)return;//图像中的灰度值均相等，无法进行自动对比度调整//自动对比度映射p = img;for(i = 0; i < count; i++){*p++ = (*p - ______________) *255/ ( ______________ - grayLow );}}

以下是直方图均衡化的函数，请填空完成/*输入参数：unsigned char *img8位灰度图像位图数据首地址int count图像像素个数输出参数：unsigned char *img8位灰度图像位图数据首地址功能：8位灰度图像的直方图均衡化*/void Equalize(unsigned char *img, int count){int i;unsigned char *p = img;//统计累积直方图int hist[256];memset(hist,0,256*sizeof(int));for(i = 0; i < count; i++){hist[*p++]++;}for(i = 1; i < 256;i++){hist[i] += ________________;}//逐点替换for(i = 0; i < count; i++){*img = 255 * ____________/ count;img++;}}

以下是修正的自动对比度增强算法的实现，请填空完成/*输入参数：unsigned char *img8位灰度图像位图数据首地址int count图像像素个数double percent 上下限像素个数百分比输出参数：unsigned char *img8位灰度图像位图数据首地址功能：8位灰度图像的修正的自动对比度增强*/void AutoContrast(unsigned char *img, int count, double percent){int i;unsigned char *p = img;//统计累积直方图int cvHist[256];memset(cvHist,0,256*sizeof(int));for(i = 0; i < count; i++){cvHist[__________]++;}for(i = 1; i < 256;i++){cvHist[i] += ______________;}//计算近似最小和最大灰度int lowCount, highCount, grayLow,grayHigh;lowCount = percent * ___________;highCount= (1 - percent) *count;for(i = 0; i< 256;i++){if(cvHist[i] > lowCount){grayLow = i;break;}}for(i = 255; i >=0; i--){if(cvHist[i] <= ___________){grayHigh= i;break;}}if(grayHigh <= grayLow)return;//图像中的灰度值均相等，无法进行自动对比度调整//自动对比度映射p = img;for(i = 0; i < count; i++){if(*p >= grayHigh )*p = __________________;else if(*p <= grayLow)*p = 0;else*p = (___________- grayLow) *255/ ( grayHigh - grayLow );p++;}}

以下是用LUT实现的直方图均衡算法函数，请填空完成/*输入参数：unsigned char *img8位灰度图像位图数据首地址int count图像像素个数输出参数：unsigned char *img8位灰度图像位图数据首地址功能：8位灰度图像的直方图均衡化*/void Equalize(unsigned char *img,int count){int i;unsigned char *p = img;//统计直方图int hist[256];memset(hist,0,256*sizeof(int));for(i = 0; i < count; i++){hist[*p++]++;}//计算映射关系unsigned char LUT[256];int H = 0;for(i = 0; i < 256;i++){H += ___________;LUT[i] = 255 * H / ___________;}//逐点替换for(i = 0; i < count; i++){*img = LUT[_______];img++;}}

以下是用LUT实现的自动对比度调整算法，请填空完成。/*输入参数：unsigned char *img8位灰度图像位图数据首地址int count图像像素个数输出参数：unsigned char *img8位灰度图像位图数据首地址功能：8位灰度图像的自动对比度增强*/void AutoContrast(unsigned char *img,int count){//求取图像中的最小像素值和最大像素值int grayLow = 255, grayHigh = 0;int i;unsigned char *p = img;for(i = 0; i < count; i++){if(*p < grayLow) grayLow = *p;if(*p > grayHigh) grayHigh = *p;p++;}if(grayHigh - grayLow == 0)return;//图像中的灰度值均相等，无法进行自动对比度调整unsigned char LUT[256];for(i = 0; i < 256;i++){LUT[i] = (i - _____________) *255/ ( grayHigh - grayLow );}//自动对比度映射p = img;for(i = 0; i < count; i++){*p++ =________________;}}

图像几何变换一般包括两个步骤：空间变换和____________________

以下程序用OpenCV读入一幅彩色图像并显示。#include #include #include using namespace cv;using namespace std;int main( int argc, char** argv ){______________ image;image = ______________ (argv[1], CV_LOAD_IMAGE_COLOR);namedWindow( "Display window",CV_WINDOW_AUTOSIZE );_____________( "Display window", image );waitKey(0);return 0;}

以下程序先读入一幅彩色图像，然后将其转换为灰度图像后再将灰度图像保存成文件，最后显示彩色图像和灰度图像，请将程序补充完整。int main( int argc, char** argv ){char* imageName = argv[1];Mat image;image = imread( imageName, CV_LOAD_IMAGE_COLOR);Mat gray_image;_________( image, gray_image, CV_RGB2GRAY,1);_________( "../../images/Gray_Image.jpg", gray_image );namedWindow( imageName, CV_WINDOW_AUTOSIZE );namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );_________ ( imageName, image );imshow( "Gray image", gray_image );waitKey(0);return 0;}