資源簡介
自己寫的基于python的AC算法,希望可以給大家做一些參考
代碼片段和文件信息
#?coding=utf-8
#初始化
import?cv2
import?numpy?as?np
import?math
def?functor(x):
????if?x>math.pow(6/293):
????????y?=?math.pow(x1/3)
????else:
????????y?=?1/3*math.pow(29/62)*x+4/29;
????return?y
def?rgb2lab(tmp?row?col):
????print?(tmp.max())
????x?=?tmp.copy()
????x?=?x.astype(np.float64)
????trans?=?np.array([[0.4124530.3575800.180423][0.2126710.7151600.072169][0.0193340.1191930.950227]])
????A?=?np.zeros([rowcol3])
????print?(A.dtype)
????for?i?in?range(0row):
????????for?j?in?range(0col):
#cv2.imread讀取的順序是BGR
????????????B?=?x[ij0]
????????????G?=?x[ij1]
????????????R?=?x[ij2]
????????????A[ij:]?=?np.dot(transnp.array([[R][G][B]]))[:0]???????????????
????A[::0]?=?A[::0]/0.950456
????A[::2]?=?A[::2]/1.088754
????lab?=?
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件???????2746??2019-07-06?09:27??與顯著性檢測相關(guān)的AC算法.py
-----------?---------??----------?-----??----
?????????????????2746????????????????????1
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