Graduation Design python OpenCV realize the color judgment of license plate recognition

Main code Reference 79589506

Github:https://github.com/yinghualuowu

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This part of the code also includes narrowing the boundaries

defImg_color (CARD_IMGS): Colors= []     forCard_index, card_imginchEnumerate (CARD_IMGS): Green= Yello = Blue = Black = White =0 CARD_IMG_HSV=Cv2.cvtcolor (card_img, Cv2. COLOR_BGR2HSV)#there is a possibility of conversion failure, due to errors in correcting rectangles above        ifCard_img_hsv isNone:Continuerow_num, Col_num= Card_img_hsv.shape[:2] Card_img_count= Row_num *Col_num forIinchRange (row_num): forJinchRange (col_num): H=Card_img_hsv.item (i, J, 0) S= Card_img_hsv.item (I, J, 1) V= Card_img_hsv.item (I, J, 2)                if< H <= 34 andS > 34: Yello+ = 1elif< H <= 99 andS > 34: Green+ = 1elif< H <= 124 andS > 34: Blue+ = 1if0 < H < 180 and0 < S < 255 and0 < V < 46: Black+ = 1elif0 < H < 180 and0 < S < 43 and221 < V < 225: White+ = 1Color="No"limit1= Limit2 =0ifYello * 2 >=Card_img_count:color="Yello"limit1= 11Limit2= 34#some pictures are colored but green        elifGreen * 2 >=Card_img_count:color="Green"limit1= 35Limit2= 99elifBlue * 2 >=Card_img_count:color="Blue"limit1= 100Limit2= 124#some pictures are colored but Violet        elifBlack + White >= card_img_count * 0.7: Color="BW"colors.append (color) Card_imgs[card_index]=card_imgifLimit1 = =0:Continuexl, XR, YH, yl=accurate_place (CARD_IMG_HSV, limit1, limit2, color)ifYL = = YH andXL = =XR:Continueneed_accurate=FalseifYL >=Yh:yl=0 YH=row_num need_accurate=TrueifXL >=XR:XL=0 XR=Col_num need_accurate=Trueifcolor = ="Green": Card_imgs[card_index]=card_imgElse: Card_imgs[card_index]= Card_img[yl:yh, XL:XR]ifColor! ="Green" orYL < (yh-yl)//4Elsecard_img[ YL- ( YH-yl)//4: YH, XL:XR] ifneed_accurate:card_img=Card_imgs[card_index] CARD_IMG_HSV=Cv2.cvtcolor (card_img, Cv2. COLOR_BGR2HSV) XL, XR, YH, yl=accurate_place (CARD_IMG_HSV, limit1, limit2, color)ifYL = = YH andXL = =XR:Continue            ifYL >=Yh:yl=0 YH=row_numifXL >=XR:XL=0 XR=Col_numifcolor = ="Green": Card_imgs[card_index]=card_imgElse: Card_imgs[card_index]= Card_img[yl:yh, XL:XR]ifColor! ="Green" orYL < (yh-yl)//4Elsecard_img[ YL- ( YH-yl)//4: YH, XL:XR] returnColors,card_imgs

Accrate_place part

defaccurate_place (CARD_IMG_HSV, limit1, limit2, color): row_num, Col_num= Card_img_hsv.shape[:2] XL=Col_num XR=0 YH=0 yl=row_num Row_num_limit= 21Col_num_limit= Col_num * 0.8ifColor! ="Green" ElseCol_num * 0.5#Green with gradient     forIinchRange (row_num): Count=0 forJinchRange (col_num): H=Card_img_hsv.item (i, J, 0) S= Card_img_hsv.item (I, J, 1) V= Card_img_hsv.item (I, J, 2)            ifLimit1 < H <= Limit2 and< S and<V:count+ = 1ifCount >Col_num_limit:ifYL >I:yl=IifYH <I:yh=I forJinchRange (col_num): Count=0 forIinchRange (row_num): H=Card_img_hsv.item (i, J, 0) S= Card_img_hsv.item (I, J, 1) V= Card_img_hsv.item (I, J, 2)            ifLimit1 < H <= Limit2 and< S and<V:count+ = 1ifCount > Row_num-Row_num_limit:ifXL >J:XL=JifXR <J:XR=JreturnXL, XR, YH, YL

Graduation Design python OpenCV realize the color judgment of license plate recognition