import?cv2
import?numpy?as?np

#減少灰度級
glay_level=16
def?newImg（img）:
????#?max_glaylevel=0
????#?for?i?in?range（a）:
????#?????for?j?in?range（b）:
????#?????????if?max_glaylevel????#?????????????max_glaylevel=img[i][j]
????#?max_glaylevel+=1
????max_glaylevel=img.max（）+1

????if?max_glaylevel>glay_level:
????????for?i?in?range（a）:
????????????for?j?in?range（b）:

????????????????#?print（img[i][j]‘*‘glay_level‘/‘max_glaylevel‘=‘img[i][j]*glay_level/max_glaylevel）
????????????????img[i][j]=img[i][j]*glay_level/max_glaylevel
????????????????#?print（img[i][j]）
#計算特征值
def?get_feature（arrayd_xd_y）:
????maxDN=0
????ASM=0
????cd=array.shape
????for?i?in?range（c）:
????????for?j?in?range（d）:
???????????if?maxDN????????????????maxDN=array[i][j]
????newArray?=?np.zeros（（maxDN+1maxDN+1）dtype=float）#灰度共生矩陣
????for?i?in?range（c-d_x）:
????????for?j?in?range（d-d_y）:
????????????DN1=array[i][j]
????????????DN2=array[i+d_x][j+d_y]
????????????newArray[DN1][DN2]+=1.0
????for?i?in?range（maxDN）