alg2_karakter_ayrıstırma.py

import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from alg1_plaka_tespiti import plaka_konum_don


veriler = os.listdir("veriseti")

isim = veriler[3]

img = cv2.imread("veriseti/"+isim)
img = cv2.resize(img,(500,500))

plaka = plaka_konum_don(img)
x,y,w,h = plaka

if(w>h):
    plaka_bgr = img[y:y+h,x:x+w].copy()
else:
    plaka_bgr = img[y:y+w,x:x+h].copy()

plt.imshow(plaka_bgr)
plt.show()

H,W = plaka_bgr.shape[:2]
print("orjinal boyut:",W,H)
H,W=H*2,W*2
print("yeni boyut:",W,H)

plaka_bgr = cv2.resize(plaka_bgr,(W,H))

plt.imshow(plaka_bgr)
plt.show()

#plaka_resim : islem resmimmiz
plaka_resim = cv2.cvtColor(plaka_bgr,cv2.COLOR_BGR2GRAY)

plt.title("gri format")
plt.imshow(plaka_resim,cmap="gray")
plt.show()


th_img = cv2.adaptiveThreshold(plaka_resim,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY_INV,11,2)

plt.title("eşiklenmiş")
plt.imshow(th_img,cmap="gray")
plt.show()

kernel = np.ones((3,3),np.uint8)
th_img = cv2.morphologyEx(th_img,cv2.MORPH_OPEN,kernel,iterations=1)

plt.title("Gürültü yok edilmiş")
plt.imshow(th_img,cmap="gray")
plt.show()

cnt = cv2.findContours(th_img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
cnt = cnt[0]
cnt = sorted(cnt,key=cv2.contourArea,reverse=True)[:15]



for i,c in enumerate(cnt):
    rect = cv2.minAreaRect(c)
    (x,y),(w,h),r = rect
    
    kon1 =  max([w,h])<W/4
    kon2 = w*h > 200

    if(kon1 and kon2):
        print("karakter ->",x,y,w,h)

        box = cv2.boxPoints(rect)
        box = np.int64(box)
        #(15,20)

        minx = np.min(box[:,0])
        miny = np.min(box[:,1])
        maxx = np.max(box[:,0])
        maxy = np.max(box[:,1])

        odak = 2

        minx = max(0,minx-odak)
        miny = max(0,miny-odak)
        maxx = min(W,maxx+odak)
        maxy = min(H,maxy+odak)

        kesim = plaka_bgr[miny:maxy,minx:maxx].copy()

        try:
            cv2.imwrite(f"karakterseti/{isim}_{i}.jpg",kesim)
        except:
            pass

        yaz = plaka_bgr.copy()
        cv2.drawContours(yaz,[box],0,(0,255,0),1)

        plt.imshow(yaz)
        plt.show()