Haclon和c#对比两张图片差异

最新推荐文章于 2024-03-09 10:45:38 发布

原创最新推荐文章于 2024-03-09 10:45:38 发布 · 2.6k 阅读

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本文介绍了一种图像差异检测的方法，通过对比两张图片并计算其灰度图像的平均值和方差来评估图像间的相似度。核心流程包括读取图片、转换为灰度图像、计算绝对差异图像以及统计分析。

haclon源码

read_image (Image, 'C:/Users/bayinglong/Desktop/搜狗截图20181206101404.png')
read_image (Image1, 'C:/Users/bayinglong/Desktop/搜狗截图20181206101426.png')
rgb1_to_gray (Image, GrayImage1)
rgb1_to_gray (Image1, GrayImage2)
abs_diff_image ( GrayImage1,  GrayImage2, ImageAbsDiff, 1)
a:=0
get_image_size (ImageAbsDiff, Width, Height)
gen_rectangle1 (Rectangle, 1,1,Height,Width)
intensity (Rectangle, ImageAbsDiff, Mean, Deviation)

主要流程，
1.两张图片相减少
2.相减图片求平均值和方差；

c#核心代码

public bool Extcute(out double Deviation, HImage bitmap1, HImage bitmap2)
        {
            try
            {
                ho_GrayImage1.Dispose();
                HOperatorSet.Rgb1ToGray(bitmap1, out ho_GrayImage1);
                ho_GrayImage2.Dispose();
                HOperatorSet.Rgb1ToGray(bitmap2, out ho_GrayImage2);
                ho_ImageAbsDiff.Dispose();
                HOperatorSet.AbsDiffImage(ho_GrayImage1, ho_GrayImage2, out ho_ImageAbsDiff, 1);
                HOperatorSet.GetImageSize(ho_ImageAbsDiff, out hv_Width, out hv_Height);
                ho_Rectangle.Dispose();
                HOperatorSet.GenRectangle1(out ho_Rectangle, 1, 1, hv_Height, hv_Width);
                HOperatorSet.Intensity(ho_Rectangle, ho_ImageAbsDiff, out hv_Mean, out hv_Deviation);

                Deviation = (double)hv_Deviation;
                return true;
            }
            catch (System.Exception ex)
            {
                Deviation = 1000;
                return false;
            }
          
        }

利用图像句柄生成haclon Himage类

 /// <summary>
        /// 生成Himage
        /// </summary>
        /// <param name="bmp">图片句柄</param>
        /// <param name="width">图片宽</param>
        /// <param name="hight">图片高</param>
        /// <returns></returns>
        public HImage HImageConvertFromBitmap32(IntPtr bmp,int width,int hight)
        {

            HalconDotNet.HImage img = new HalconDotNet.HImage();
            img.GenImage1("byte", width, hight, bmp);
            return img;
        }