diff --git a/Matrox/README.md b/Matrox/README.md index 0932f19..d8335a5 100644 --- a/Matrox/README.md +++ b/Matrox/README.md @@ -5,4 +5,70 @@ include_directories(E:/QTexamble/matrox/Include) # 添加 MIL 库的库文件路径 link_directories(E:/QTexamble/matrox/LIB) file(GLOB MIL_LIBS E:/QTexamble/matrox/LIB/*.lib) -同理 将E:/QTexamble/matrox/LIB部分替换为安装目录下的.../Matrox Imaging/MIL/LIB 即可 \ No newline at end of file +同理 将E:/QTexamble/matrox/LIB部分替换为安装目录下的.../Matrox Imaging/MIL/LIB 即可 + + +## 鲜艳色彩检测功能 + +对应函数： + +```c++ +void lab_process(const MIL_ID& inputImage, MIL_ID& outputImageLab, const std::map& params); +// 用法 +// std::map params; +// params["saturation_threshold"] = 150; +// params["saturation_denoising"] = 2; + +void hsv_process(const MIL_ID& inputImage, MIL_ID& outputImageHSV, const std::map& params); +// std::map params; +// params["green_L_min"] = 68; +// params["green_L_max"] = 125; +// params["green_a_min"] = 101; +// params["green_a_max"] = 120; +// params["green_b_min"] = 130; +// params["green_b_max"] = 140; +// +// params["blue_L_min"] = 45; +// params["blue_L_max"] = 66; +// params["blue_a_min"] = 130; +// params["blue_a_max"] = 145; +// params["blue_b_min"] = 95; +// params["blue_b_max"] = 105; +// +// params["orange_L_min"] = 166; +// params["orange_L_max"] = 191; +// params["orange_a_min"] = 135; +// params["orange_a_max"] = 142; +// params["orange_b_min"] = 160; +// params["orange_b_max"] = 174; +// +// params["black_L_min"] = 0; +// params["black_L_max"] = 21; +// params["black_a_min"] = 127; +// params["black_a_max"] = 133; +// params["black_b_min"] = 126; +// params["black_b_max"] = 134; +// +// params["red_L_min"] = 71; +// params["red_L_max"] = 97; +// params["red_a_min"] = 143; +// params["red_a_max"] = 153; +// params["red_b_min"] = 33; +// params["red_b_max"] = 154; +// +// params["purple_L_min"] = 171; +// params["purple_L_max"] = 197; +// params["purple_a_min"] = 131; +// params["purple_a_max"] = 141; +// params["purple_b_min"] = 108; +// params["purple_b_max"] = 123; +// params["lab_denoising"] = 1; + +``` + +| | hsv_denoising = 0 | hsv_denoising = 1 | hsv_denoising = 2 | +| ----------------- | ----------------- | ----------------- | ------------------------------------------- | +| lab_denoising = 0 | | | | +| lab_denoising = 1 | | | ![diguandai](./README.assets/diguandai.png) | +| lab_denoising = 2 | | | | + diff --git a/Matrox/color_range.cpp b/Matrox/color_range.cpp index a3b1e60..3295e8b 100644 --- a/Matrox/color_range.cpp +++ b/Matrox/color_range.cpp @@ -15,6 +15,10 @@ MIL_ID MilApplication = M_NULL, MilSystem = M_NULL, MilDisplay = M_NULL; void lab_process(const MIL_ID& inputImage, MIL_ID& outputImageLab, const std::map& params) { MIL_ID MilLabImage = M_NULL, MilLChannel = M_NULL, MilAChannel = M_NULL, MilBChannel = M_NULL; + MIL_ID lab_result=M_NULL; + + int denoising = params.at("lab_denoising"); + // Check number of bands MIL_INT NumBands = 0; @@ -51,7 +55,7 @@ void lab_process(const MIL_ID& inputImage, MIL_ID& outputImageLab, const std::ma MbufAlloc2d(MilSystem, SizeX, SizeY, 1 + M_UNSIGNED, M_IMAGE + M_PROC, &MilBinaryA); MbufAlloc2d(MilSystem, SizeX, SizeY, 1 + M_UNSIGNED, M_IMAGE + M_PROC, &MilBinaryB); MbufAlloc2d(MilSystem, SizeX, SizeY, 1 + M_UNSIGNED, M_IMAGE + M_PROC, &MilResultLab); - + MbufAlloc2d(MilSystem, SizeX, SizeY, 1 + M_UNSIGNED, M_IMAGE + M_PROC, &lab_result); const std::vector colors = {"green", "blue", "orange", "black", "red", "purple"}; // Iterate over colors @@ -83,8 +87,11 @@ void lab_process(const MIL_ID& inputImage, MIL_ID& outputImageLab, const std::ma MimArith(MilResultLab, MilBinaryB, MilResultLab, M_AND); // 与输出图像合并 - MimArith(outputImageLab, MilResultLab, outputImageLab, M_OR); + MimArith(lab_result, MilResultLab, lab_result, M_OR); + } + MimClose(lab_result, MilResultLab, denoising, M_BINARY); + MimOpen(MilResultLab, outputImageLab, denoising, M_BINARY); // Free binary buffers MbufFree(MilBinaryL); @@ -97,12 +104,17 @@ void lab_process(const MIL_ID& inputImage, MIL_ID& outputImageLab, const std::ma MbufFree(MilAChannel); MbufFree(MilBChannel); MbufFree(MilLabImage); + MbufFree(lab_result); } void hsv_process(const MIL_ID& inputImage, MIL_ID& outputImageHSV, const std::map& params) { MIL_ID MilHSVImage = M_NULL, MilHChannel = M_NULL, MilSChannel = M_NULL, MilVChannel = M_NULL; + MIL_ID hsv_result = M_NULL; + MIL_ID hsv_denoising = M_NULL; int saturationThreshold = params.at("saturation_threshold"); + int denoising = params.at("saturation_denoising"); + // 检查输入图像的通道数 MIL_INT NumBands = 0; MbufInquire(inputImage, M_SIZE_BAND, &NumBands); @@ -131,17 +143,28 @@ void hsv_process(const MIL_ID& inputImage, MIL_ID& outputImageHSV, const std::ma // 分配输出图像缓冲区 MbufAlloc2d(MilSystem, MbufInquire(inputImage, M_SIZE_X, M_NULL), MbufInquire(inputImage, M_SIZE_Y, M_NULL), 8 + M_UNSIGNED, - M_IMAGE + M_PROC + M_DISP, &outputImageHSV); + M_IMAGE + M_PROC + M_DISP, &hsv_result); + MbufAlloc2d(MilSystem, MbufInquire(inputImage, M_SIZE_X, M_NULL), + MbufInquire(inputImage, M_SIZE_Y, M_NULL), 8 + M_UNSIGNED, + M_IMAGE + M_PROC + M_DISP, &hsv_denoising); + MbufAlloc2d(MilSystem, MbufInquire(inputImage, M_SIZE_X, M_NULL), + MbufInquire(inputImage, M_SIZE_Y, M_NULL), 8 + M_UNSIGNED, + M_IMAGE + M_PROC + M_DISP, &outputImageHSV); // 对 S 通道进行阈值分割 - MimBinarize(MilSChannel, outputImageHSV, M_GREATER, + MimBinarize(MilSChannel, hsv_result, M_GREATER, saturationThreshold, M_NULL); + MimClose(hsv_result, hsv_denoising, denoising, M_BINARY); + MimOpen(hsv_denoising, outputImageHSV, denoising, M_BINARY); + // 释放资源 MbufFree(MilHChannel); MbufFree(MilSChannel); MbufFree(MilVChannel); MbufFree(MilHSVImage); + MbufFree(hsv_result); + MbufFree(hsv_denoising); } void high_sat_detect(const MIL_ID& inputImage, MIL_ID& outputImage, const std::map& params) { @@ -214,8 +237,10 @@ int main() params["purple_a_max"] = 141; params["purple_b_min"] = 108; params["purple_b_max"] = 123; + params["lab_denoising"] = 1; params["saturation_threshold"] = 150; + params["saturation_denoising"] = 1; // Initialize combined result MIL_ID detection_result = M_NULL;