少有人走的路极坐标的用途
把圆形的图片转换为矩形，便于字符识别和关键区域的提取。
在halcon中对应的算子
（1）极坐标的展开：polar_trans_image_ext(Image : PolarTransImage : Row, Column, AngleStart, AngleEnd, RadiusStart, RadiusEnd, Width, Height, Interpolation : )
（2）极坐标的逆变换：polar_trans_image_inv(PolarImage : XYTransImage : Row, Column, AngleStart, AngleEnd, RadiusStart, RadiusEnd, Width, Height, Interpolation : )
其中：Row, Column分别为圆环的中心行列坐标， AngleStart, AngleEnd为起始和终止的角度值，RadiusStart, RadiusEnd为起始和终止的半径角度值， Width, Height为输出图片的宽和高。
（3）点坐标的逆变换：polar_trans_contour_xld_inv(PolarContour : XYTransContour : Row, Column, AngleStart, AngleEnd, RadiusStart, RadiusEnd, WidthIn, HeightIn, Width, Height : )
我写的案例
dev_close_window () dev_open_window (0, 0, 512, 512, 'black', WindowHandle) read_image (Image, '极坐标2.png') get_image_size (Image, Width, Height) draw_circle (WindowHandle, Row1, Column1, Radius) gen_circle (Circle, Row1, Column1, Radius) reduce_domain (Image, Circle, ImageReduced) PI:=3.1415926 *逆时针,从0度到360度,转一圈 polar_trans_image_ext (ImageReduced, PolarTransImage, Row1, Column1, 0, 2*PI, 0, Radius, Width, Height, 'nearest_neighbor') write_image (PolarTransImage, 'jpeg 100', 0, 'd:\\1.jpg') *长和宽必须是原图像的长和宽,否则尺寸太小的话,图像容易超出,导致一片黑,看不到转换结果 polar_trans_image_inv (PolarTransImage, XYTransImage, Row1, Column1, 0, 2*PI, 0, Radius, Width, Height, 'nearest_neighbor') write_image (XYTransImage, 'jpeg 100', 0, 'd:\\2.jpg') *点坐标的转换 *Contour的原坐标是基于极坐标系,我们把它转到笛卡尔坐标系 gen_contour_polygon_xld (Contour, [155.568, 137.404, 30], [47.4712, 116.479, 260]) polar_trans_contour_xld_inv (Contour, XYTransContour, Row1, Column1, 0, 2*PI, 0, Radius, Width, Height, Width, Height) stop()
变换前：
变换后：
逆变换：会回原样
官方例程
ocr_cd_print_polar_trans.hdev
create_shape_model_xld.hdev
circular_barcode.hdev
参考文献
https://blog.csdn.net/qq_32939413/article/details/104092627
https://www.pianshen.com/article/3946344220/
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版权声明：本文为CSDN博主「libaineu2004」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/libaineu2004/article/details/107027620
