menghitung accuray dari segmentasi citra

halo sekolang koding, jadi dibawah ini merupakan source untuk segmentasi citra menjadi duo area nukleus dan sel. pertanyaannya bagaimana kita bisa menghitung accuracynya dari hasil segmentasi citra yang telah berhasil ?? import numpy as np import cv2 as cv from skimage.morphology import opening, disk, watershed, closing from skimage.feature import peak_local_max from skimage import measure from scipy import ndimage import glob

for file in glob.glob("Im*.jpg"): print("processing "+ file+" ...") IMG = cv.imread(file) GRAY = cv.cvtColor(IMG, cv.COLOR_BGR2GRAY) ret, ALL = cv.threshold(GRAY, 0, 255, cv.THRESH_BINARY_INV+cv.THRESH_OTSU) MTD = disk(18) IMG_OPEN = opening(ALL, MTD) distance = ndimage.distance_transform_edt(IMG_OPEN) local_maxi = peak_local_max( distance, indices=False, footprint=np.ones((3, 3)), labels=IMG_OPEN) markers = measure.label(local_maxi) labels_ws = watershed(-distance, markers, mask= IMG_OPEN) cv.imwrite('processed_'+file, labels_ws)