Transformation from rgb to hsv and conversely
* Transformation from rgb to hsv and conversely
read_image(Image,'patras')
dev_display(Image)
decompose3(Image, Image1, Image2, Image3)
trans_from_rgb(Image1,Image2,Image3,ImageH,ImageS,ImageV,'hsv')
trans_to_rgb(ImageH,ImageS,ImageV,ImageR,ImageG,ImageB,'hsv')
compose3(ImageR,ImageG,ImageB,Multichannel)
dev_display(Multichannel)灰度图取反
*黑白取反
invert_image (ImageResult, ImageInvert)更丰富的例子，实现彩色图像的饱和度/亮度均衡
dev_close_window ()
read_image (Image, 'D:/hellowprld/2/2 (2).jpg')
dev_open_window_fit_image (Image, 0, 0, -1, -1, WindowHandle)
dev_display (Image)
*将图像进行通道分解，分别转换为三个通道的RGB图像
decompose3 (Image, Red, Green, Blue)
*使用颜色转换将RGB三个通道图像转化为HSV通道的图像
trans_from_rgb (Red, Green, Blue, Hue1, Saturation1, Intensity1, 'hsi')
trans_from_rgb (Red, Green, Blue, Hue2, Saturation2, Value2, 'hsv')
*饱和度1均衡
equ_histo_image (Saturation1, ImageEquHistoSaturation1)
trans_to_rgb(Hue1, ImageEquHistoSaturation1, Intensity1, ImageR, ImageG, ImageB, 'hsi')
compose3(ImageR, ImageG, ImageB, Multichannel1)
*饱和度2均衡
equ_histo_image (Saturation2, ImageEquHistoSaturation2)
trans_to_rgb(Hue2, ImageEquHistoSaturation2, Value2, ImageR, ImageG, ImageB, 'hsv')
compose3(ImageR, ImageG, ImageB, Multichannel2)
*亮度1均衡
equ_histo_image (Intensity1, ImageEquHistoIntensity1)
trans_to_rgb(Hue1, Saturation1, ImageEquHistoIntensity1, ImageR, ImageG, ImageB, 'hsi')
compose3(ImageR, ImageG, ImageB, Multichannel3)
*亮度2均衡
equ_histo_image (Value2, ImageEquHistoValue2)
trans_to_rgb(Hue2, Saturation2, ImageEquHistoValue2, ImageR, ImageG, ImageB, 'hsv')
compose3(ImageR, ImageG, ImageB, Multichannel4)
*亮度1增加
scale_image (Intensity1, ImageScaleIntensity1, 1, 80)
trans_to_rgb(Hue1, Saturation1, ImageScaleIntensity1, ImageR, ImageG, ImageB, 'hsi')
compose3(ImageR, ImageG, ImageB, Multichannel5)
*亮度2增加
scale_image (Value2, ImageScaleValue2, 1, 80)
trans_to_rgb(Hue2, Saturation2, ImageScaleValue2, ImageR, ImageG, ImageB, 'hsv')
compose3(ImageR, ImageG, ImageB, Multichannel6)
*彩色图提取轮廓
edges_color_sub_pix (Image, colorEdges, 'canny', 1, 20, 40)
*彩色转灰度图
count_channels (Image, Channels)
if (Channels == 3 or Channels == 4)
rgb1_to_gray (Image, Image)
endif
get_image_size (Image, Width, Height)