opencv3.0.0出现无法解析的外部命令
头文件代码：
#if !defined COLORDETECT
#define COLORDETECT
#include
#include
class ColorDetector {
private:
// minimum acceptable distance
int maxDist;
// target color
cv::Vec3b target;
// image containing color converted image
cv::Mat converted;
bool useLab;
// image containing resulting binary map
cv::Mat result;
public:
// empty constructor
// default parameter initialization here
ColorDetector() : maxDist(100), target(0, 0, 0), useLab(false) {}
// extra constructor for Lab color space example
ColorDetector(bool useLab) : maxDist(100), target(0, 0, 0), useLab(useLab) {}
// full constructor
ColorDetector(uchar blue, uchar green, uchar red, int mxDist = 100, bool useLab = false) : maxDist(mxDist), useLab(useLab) {
// target color
setTargetColor(blue, green, red);
}
// Computes the distance from target color.
int getDistanceToTargetColor(const cv::Vec3b& color) const {
return getColorDistance(color, target);
}
// Computes the city-block distance between two colors.
int getColorDistance(const cv::Vec3b& color1, const cv::Vec3b& color2) const {
return abs(color1[0] - color2[0]) +
abs(color1[1] - color2[1]) +
abs(color1[2] - color2[2]);
// Or:
// return static_cast<int>(cv::norm<int,3>(cv::Vec3i(color[0]-color2[0],color[1]-color2[1],color[2]-color2[2])));
// Or:
// cv::Vec3b dist;
// cv::absdiff(color,color2,dist);
// return cv::sum(dist)[0];
}
// Processes the image. Returns a 1-channel binary image.
cv::Mat process(const cv::Mat &image);
cv::Mat operator()(const cv::Mat &image) {
cv::Mat input;
input = image;
if (useLab) { // Lab conversion
cv::cvtColor(image, input, CV_BGR2Lab);
}
cv::Mat output;
// compute absolute difference with target color
cv::absdiff(input, cv::Scalar(target), output);
// split the channels into 3 images
std::vector<cv::Mat> images;
cv::split(output, images);
// add the 3 channels (saturation might occurs here)
output = images[0] + images[1] + images[2];
// apply threshold
cv::threshold(output, // input image
output, // output image
maxDist, // threshold (must be < 256)
255, // max value
cv::THRESH_BINARY_INV); // thresholding type
return output;
}
// Getters and setters
// Sets the color distance threshold.
// Threshold must be positive, otherwise distance threshold
// is set to 0.
void setColorDistanceThreshold(int distance) {
if (distance < 0)
distance = 0;
maxDist = distance;
}
// Gets the color distance threshold
int getColorDistanceThreshold() const {
return maxDist;
}
// Sets the color to be detected
void setTargetColor(uchar blue, uchar green, uchar red) {
// BGR order
target = cv::Vec3b(blue, green, red);
if (useLab) {
// Temporary 1-pixel image
cv::Mat tmp(1, 1, CV_8UC3);
tmp.at<cv::Vec3b>(0, 0) = cv::Vec3b(blue, green, red);
// Converting the target to Lab color space
cv::cvtColor(tmp, tmp, CV_BGR2Lab);
target = tmp.at<cv::Vec3b>(0, 0);
}
}
// Sets the color to be detected
void setTargetColor(cv::Vec3b color) {
target = color;
}
// Gets the color to be detected
cv::Vec3b getTargetColor() const {
return target;
}
};
#endif
主函数代码：
#include
#include
#include
#include
#include"colordetector.h"
int main()
{
// 1. Create image processor object
ColorDetector cdetect;
// 2. Read input image
cv::Mat image = cv::imread("Schluss.jpg");
if (image.empty())
return 0;
// 3. Set input parameters
cdetect.setTargetColor(250, 219, 133); // here blue sky
// 4. Process the image and display the result
cv::namedWindow("result");
cv::imshow("result", cdetect.process(image));
// or using functor
ColorDetector colordetector(250, 219, 133, // color
45, true); // Lab threshold
cv::namedWindow("result (functor)");
cv::imshow("result (functor)", colordetector(image));
cv::waitKey();
return 0;
}
依赖的库添加了：
D:\opencv\build\x64\vc12\lib\opencv_ts300.lib
D:\opencv\build\x64\vc12\lib\opencv_world300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_imgproc300.lib
D:\opencv\build\x64\vc12\staticlib\IlmImf.lib
D:\opencv\build\x64\vc12\staticlib\ippicvmt.lib
D:\opencv\build\x64\vc12\staticlib\libjpeg.lib
D:\opencv\build\x64\vc12\staticlib\libpng.lib
D:\opencv\build\x64\vc12\staticlib\libtiff.lib
D:\opencv\build\x64\vc12\staticlib\libwebp.lib
D:\opencv\build\x64\vc12\staticlib\opencv_calib3d300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_core300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_features2d300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_flann300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_hal300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_highgui300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_imgcodecs300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_imgproc300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_ml300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_objdetect300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_photo300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_shape300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_stitching300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_superres300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_video300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_videoio300.lib
D:\opencv\build\x64\vc12\staticlib\opencv_videostab300.lib
D:\opencv\build\x64\vc12\staticlib\zlib.lib
解决方案配置是Release x64
刚开始学OpenCV，请各位大佬帮帮我
