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basic_operation.hdev
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<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.2" halcon_version="19.11.0.0">
<procedure name="main">
<interface/>
<body>
<c></c>
<c>* 提取ROI区域</c>
<l>dev_clear_window()</l>
<l>read_image (Image, 'claudia')</l>
<l>dev_open_window(0, 0, 512, 512, 'black', WindowHandle)</l>
<l>dev_display(Image)</l>
<c></c>
<l>draw_rectangle1(WindowHandle, Row1, Column1, Row2, Column2)</l>
<c></c>
<l>gen_rectangle1(Rectangle,Row1, Column1, Row2, Column2)</l>
<l>reduce_domain(Image, Rectangle, ImageReduced)</l>
<c></c>
<l>stop ()</l>
<c></c>
<c>* 识别条形码的示例</c>
<l>dev_update_off ()</l>
<l>dev_set_color (['#ff000080','#00ff0080','#ff00ff80','#00ffff80','#ffff0080','#0000ff80'])</l>
<l>dev_set_line_width (3)</l>
<c as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[1,1]" as_ord="1">* Image Acquisition 01: Code generated by Image Acquisition 01</c>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[2,1]" as_ord="1">read_image (Image, 'barcode/ean13/ean1305.png')</l>
<l>create_bar_code_model ([], [], BarCodeHandle)</l>
<l>find_bar_code (Image, SymbolRegions, BarCodeHandle, 'auto', DecodedDataStrings)</l>
<c></c>
<l>stop ()</l>
<c>* 处理图像基本代码框架</c>
<l>dev_update_off ()</l>
<l>dev_close_window ()</l>
<l>read_image (Image, 'claudia')</l>
<l>get_image_size (Image, Width, Height)</l>
<l>dev_open_window (0, 0, Width, Height, 'black', WindowHandle)</l>
<l>dev_set_draw ('margin') //规定后面图像显示的方式（填充，还是边框显示）</l>
<l>dev_set_line_width (3) // 规定后续画图线宽</l>
<l>emphasize (Image, ImageEmphasize, 5, 5, 1) // 图像增强处理</l>
<l>dev_display (ImageEmphasize) //显示图像</l>
<l>set_display_font (WindowHandle, 16, 'mono', 'true', 'false') //规定图形窗口中出现文字的大小字体，是否斜体等</l>
<l>dev_disp_text ('hello', 'image', 230, 140, 'red', [], []) //在窗口中添加文本，注意这里第二个参数决定是相对窗口位置还是图像</l>
<l>set_display_font (WindowHandle, 16, 'mono', 'true', 'false')</l>
<l>disp_message (WindowHandle, 'Hello World', 'window', 230, 140, 'black', 'true') // 一种更灵活的显示文本方式</l>
<l>* disp_message (WindowHandle, ['Hello','world!'], 'window', 12, 120, 'white', ['blue','false'])</l>
<l>stop ()</l>
<c></c>
<c>* 图像基本预处理</c>
<c>* mean_image、gauss_filter、binomial_filter：消除噪声</c>
<c>* median_image：抑制小斑点、细线</c>
<c>* smooth_image、anisotropic_diffusion：图像平滑</c>
<c>* 腐蚀：对边界向内部收缩，消除边界点，去除小元素</c>
<c>* 膨胀：对边界向外部扩充，填充空洞；</c>
<c>* opening_circle：先腐蚀后膨胀，去除孤立点、毛刺，消除小物体、平滑较大物体边界，同时不改变面积</c>
<c>* closing_circle：先膨胀后腐蚀，填充物体内部细小空洞，连接临近物体、平滑边界，同时不改变面积</c>
<c></c>
<c>* 图像分割</c>
<l>rgb1_to_gray (ImageEmphasize, GrayImage)</l>
<l>threshold (GrayImage, Regions, 4, 72)</l>
<l>connection (Regions, Connection)</l>
<l>select_shape (Connection, SelectedRegions, 'area', 'and', 25273.4, 45352.9)</l>
<l>count_obj (SelectedRegions, Number) // 计算分割区域有几个对象</l>
<l>area_center (SelectedRegions, Area, Row, Column) //区域面积的一些参数</l>
<l>fill_up (SelectedRegions, RegionFillUp) //填充目标区域</l>
<l>stop()</l>
<c></c>
<c>* 轮廓处理</c>
<c>* 提取指定图像的外轮廓</c>
<l>gen_contour_region_xld (Connection, Contours, 'border') </l>
<c>* 将轮廓线分为多个部分</c>
<l>segment_contours_xld (Contours, ContoursSplit, 'lines_circles', 5, 4, 2)</l>
<c>* 通过不同的特征，提取出分割后轮廓中满足要求的轮廓线段</c>
<l>select_contours_xld (ContoursSplit, SelectedContours, 'contour_length', 0.5, 200, -0.5, 0.5)</l>
<c>* 从轮廓线段集合中选择指定线段</c>
<l>select_obj (SelectedContours, ObjectSelected,1)</l>
<c>* 获取指定轮廓上点的像素坐标</c>
<l>get_contour_xld (ObjectSelected, Row, Col)</l>
<c>* 将位于轮廓线 Region 内的图像提取出来</c>
<l>* reduce_domain (Image, Region, ImageReduced)</l>
<l>stop ()</l>
<c></c>
<c></c>
<c>* 基于形状的模板匹配</c>
<l>dev_update_off ()</l>
<l>dev_close_window ()</l>
<c as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[1,1]" as_ord="1">* Image Acquisition 01: Code generated by Image Acquisition 01</c>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[2,1]" as_ord="1">read_image (Image1, 'C:/Users/Public/Documents/MVTec/HALCON-19.11-Progress/examples/images/for5.png')</l>
<l>gen_rectangle1 (ROI_0, 240, 196, 336, 537)</l>
<l>reduce_domain (Image1, ROI_0, ImageReduced1)</l>
<c>* 创建模板</c>
<l>create_shape_model (ImageReduced1, 'auto', -0.39, 0.79, 'auto', 'auto', 'use_polarity', 'auto', 'auto', ModelID)</l>
<c>* 得到模板的轮廓</c>
<l>get_shape_model_contours (ModelContours, ModelID, 3)</l>
<c as_id="image_acquisition" as_name="Image Acquisition 02" as_grp="[1,1]" as_ord="1">* Image Acquisition 02: Code generated by Image Acquisition 02</c>
<l as_id="image_acquisition" as_name="Image Acquisition 02" as_grp="[2,1]" as_ord="1">read_image (Image2, 'C:/Users/Public/Documents/MVTec/HALCON-19.11-Progress/examples/images/for6.png')</l>
<c></c>
<c>* 在另一幅图像中寻找模板对应的区域</c>
<l>find_shape_model (Image2, ModelID, -0.39, 0.79, 0.5, 1, 0.5, 'least_squares', 0, 0.9, Row3, Column3, Angle, Score)</l>
<c>* 确定匹配位置的轮廓</c>
<l>vector_angle_to_rigid (Row3, Column3, Angle, Row3, Column3, Angle, HomMat2D)</l>
<l>stop ()</l>
<c></c>
<c>* 批量导入图片</c>
<l>dev_update_off ()</l>
<l>dev_clear_window ()</l>
<l>list_image_files ('C:/Users/94960/Desktop/JISOO吖', 'default', [], ImageFiles)</l>
<l>for i:=0 to 4 by 1</l>
<l> read_image (Image3, ImageFiles[i])</l>
<l>endfor</l>
<l>stop()</l>
<c></c>
<c>* 局部阈值</c>
<l>read_image (Image4, ImageFiles[3])</l>
<l>mean_image (Image4, ImageMean, 5, 5) //中值滤波</l>
<c>* 这个算子的意思是比较原始图像和经过平滑处理图像之间5灰度值一组的灰度差，并把更暗的部分提取出来</c>
<l>dyn_threshold (Image4, ImageMean, RegionDynThresh, 5, 'dark')</l>
<c></c>
<c>* 频域滤波</c>
<l>get_image_size (Image4, Width, Height)</l>
<l>decompose3 (Image4, R, G, B) //分离成3个通道，每个通道一幅图</l>
<l>rft_generic (B, ImageFFT, 'to_freq', 'none', 'complex', Width)</l>
<l>gen_gauss_filter (ImageGauss, 100, 100, 0, 'n', 'rft', Width, Height)</l>
<l>convol_fft (ImageFFT, ImageGauss, ImageConvol)</l>
<l>rft_generic (ImageConvol, ImageFFT1, 'from_freq', 'none', 'byte', Width)</l>
<l>sub_image (B, ImageFFT1, ImageSub, 2, 100)</l>
<c></c>
<c></c>
<c>* contour 类型，光滑线型，不填充</c>
<c>* 普通矩形，填充，光滑</c>
<l>gen_rectangle1 (Rectangle1, 30, 20, 100, 200)</l>
<c>* 旋转矩形，不填充，光滑</c>
<l>gen_rectangle2_contour_xld (Rectangle, 300, 200, 0.78540, 100.5, 20.5)</l>
<c>* 旋转矩形，填充，锯齿</c>
<l>gen_rectangle2 (Rectangle2, 300, 200, 0.78540, 100, 20)</l>
<c></c>
<c>* 多边形，不填充，光滑</c>
<l>gen_contour_polygon_xld (Contour, rows, cols)</l>
<c>* 多边形，不填充，光滑</c>
<l>gen_polygons_xld (Contour, Polygons, 'ramer', 2)</l>
<c>* 多边形，不填充，锯齿</c>
<l>gen_region_polygon (Region2, rows, cols)</l>
<c>* 多边形（填充，有锯齿）</c>
<l>gen_region_polygon_filled (Region1, rows, cols)</l>
<c></c>
<c>* 普通椭圆，填充，锯齿</c>
<l>gen_ellipse (Ellipse, 200, 200, 0, 100, 60)</l>
<c>* 扇形椭圆，填充，锯齿</c>
<l>gen_ellipse_sector (EllipseSector, 200, 200, 0.78540, 100, 50, 0, 6.28318)</l>
<c>* 旋转椭圆，不填充，光滑</c>
<l>gen_ellipse_contour_xld (ContEllipse, 200, 200, 0.78540, 100, 50, 0, 6.28318, 'positive', 1.5)</l>
<c></c>
<c>* 普通圆，填充，锯齿</c>
<l>gen_circle (Circle, 200, 200, 100.5)</l>
<c>* 扇形圆，填充，锯齿</c>
<l>gen_circle_sector (CircleSector, 200, 200, 100.5, 0, 1.57080)</l>
<c>* 圆形，不填充，光滑</c>
<l>gen_circle_contour_xld (ContCircle, 200, 200, 100, 0, 6.28318, 'positive', 1)</l>
<c></c>
<c>* 通用，将 XLD contour 转成 region</c>
<l>gen_region_contour_xld (ContEllipse, Region, 'filled')</l>
<c></c>
<c>* 抠图</c>
<l>reduce_domain (Image, Region, ImageReduced)</l>
<c></c>
<c></c>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>