opencv學習筆記 閾值分割

先選定乙個特定的閾值量，比如：127

新的閾值產生規則為：

(x,y

)=maxval \quad if \quad src(x,y)>thresh \\ 0,otherwise \end

dst(x,

y)= 0 \quad if \quad src(x,y)>thresh \\ maxval,otherwise \end

dst(x,

y)= threshold \quad if \quad src(x,y)>thresh \\ src(x,y),otherwise \end

dst(x,

y)= 0 \quad if \quad src(x,y)>thresh \\ src(x,y),otherwise \end

dst(x,

y)= src(x,y) \quad if \quad src(x,y)>thresh \\ 0,otherwise \end

dst(x,

y)={

src(

x,y)

ifsr

c(x,

y)>th

resh

0,ot

herw

ise​

retval, dst = cv2.threshold(src, thresh, maxval, type)

# 二進位制閾值化

cv2.threshold(image,
127,
255, cv2.thresh_binary)
# 反二進位制閾值化
cv2.threshold(image,
127,
255, cv2.thresh_binary_inv)
# 截斷閾值化
cv2.threshold(image,
127,
255, cv2.thresh_trunc)
# 反閾值化為0
cv2.threshold(image,
127,
255, cv2.thresh_tozero_inv)
# 閾值化為0
# 二進位制閾值化
cv2.imshow(
'binary'
, binary)
retval, binary_inv = cv2.threshold(gray,
128,
255, cv2.thresh_binary_inv)
# 反二進位制閾值化
cv2.imshow(
'binary_inv'
, binary_inv)
retval, trunc = cv2.threshold(gray,
128,
255, cv2.thresh_trunc)
# 截斷閾值化
cv2.imshow(
'trunc'
, trunc)
retval, tozero_inv = cv2.threshold(gray,
128,
255, cv2.thresh_tozero_inv)
# 反閾值化為0
cv2.imshow(
'zero'
, tozero_inv)
retval, tozero = cv2.threshold(gray,
128,
255, cv2.thresh_tozero)
# 閾值化為0
cv2.imshow(
'tozero'
, tozero)
cv2.waitkey(0)
cv2.destroyallwindows(
)

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