update code—_66_to_70

Author: JimmyHHua

Diff for: README.md

@@ -26,8 +26,8 @@ gray = cv2.cvtColor(src, cv.COLOR_BGR2GRAY)
 
 <div align=center><img src=https://i.loli.net/2019/05/22/5ce4b2ae1e7ce86434.png width=120>       <img src=https://i.loli.net/2019/05/22/5ce4b2ae220a248459.png width=120></div>
 
- 
- 
+
+
 ***More opencv4.0 tutorials plese follow the learning road as below*** 👇👇👇
 
 ## Learning Road ⛳️
@@ -104,3 +104,8 @@ code_062 | [Dilation and Erosion](python/code_062/opencv_062.py)   | ❣️
 code_063 | [Structuring Element](python/code_063/opencv_063.py)   | ✔️
 code_064 | [Opening Transformation](python/code_064/opencv_064.py)   | ✏️
 code_065 | [Closing Transformation](python/code_065/opencv_065.py)   | ✏️
+code_066 | [Application of Opening and Closing Operations](python/code_066/opencv_066.py)   | ✏️
+code_067 | [Top Hat](python/code_067/opencv_067.py)   | ✔️
+code_068 | [Black Hat](python/code_068/opencv_068.py)   | ✔️
+code_069 | [Morph Gradient](python/code_069/opencv_069.py)   | ✔️
+code_070 | [Contour based on Morph Gradient](python/code_070/opencv_070.py)   | ✏️

Diff for: README_CN.md

@@ -103,3 +103,8 @@ code_062 | [膨胀和腐蚀](python/code_062/opencv_062.py)   | ❣️
 code_063 | [结构元素](python/code_063/opencv_063.py)   | ✔️
 code_064 | [开运算](python/code_064/opencv_064.py)   | ✏️
 code_065 | [闭运算](python/code_065/opencv_065.py)   | ✏️
+code_066 | [开闭运算的应用](python/code_066/opencv_066.py)   | ✏️
+code_067 | [顶帽](python/code_067/opencv_067.py)   | ✔️
+code_068 | [黑帽](python/code_068/opencv_068.py)   | ✔️
+code_069 | [图像梯度](python/code_069/opencv_069.py)   | ✔️
+code_070 | [基于梯度的轮廓发现](python/code_070/opencv_070.py)   | ✏️

Diff for: python/README_EN.md

@@ -0,0 +1,50 @@
+import cv2 as cv
+import numpy as np
+
+
+def open_demo():
+    src = cv.imread("fill.png")
+    cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+    cv.imshow("input", src)
+
+    # 图像二值化
+    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
+    cv.imwrite("binary1.png", binary)
+    cv.imshow("binary1", binary)
+
+    # 开操作
+    se1 = cv.getStructuringElement(cv.MORPH_RECT, (15, 1))
+    binary = cv.morphologyEx(binary, cv.MORPH_OPEN, se1)
+    cv.imshow("binary", binary)
+    cv.imwrite("binary2.png", binary)
+
+    # 提取轮廓
+    out, contours, hierarchy = cv.findContours(binary, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
+    for c in range(len(contours)):
+        x, y, w, h = cv.boundingRect(contours[c])
+        y = y - 10
+        h = 12
+        cv.rectangle(src, (x, y), (x+w, y+h), (0, 0, 255), 1, 8, 0)
+    cv.imshow("result", src)
+
+
+def close_demo():
+    src = cv.imread("morph3.png")
+    cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+    cv.imshow("input", src)
+
+    # 图像二值化
+    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
+
+    # 闭操作
+    se = cv.getStructuringElement(cv.MORPH_ELLIPSE, (15, 15), (-1, -1))
+    binary = cv.morphologyEx(binary, cv.MORPH_CLOSE, se)
+    cv.imwrite("close.png", binary)
+    cv.imshow("close", binary)
+
+#open_demo()
+close_demo()
+cv.waitKey(0)
+cv.destroyAllWindows()

Diff for: python/code_066/binary1.png

@@ -0,0 +1,21 @@
+import cv2 as cv
+import numpy as np
+
+src = cv.imread("morph02.png")
+cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+cv.imshow("input", src)
+
+# 高斯模糊去噪声
+gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
+
+# 顶帽操作
+se = cv.getStructuringElement(cv.MORPH_RECT, (3, 3), (-1, -1))
+binary = cv.morphologyEx(binary, cv.MORPH_TOPHAT, se)
+
+
+cv.imshow("binary", binary)
+cv.imwrite("binary3.png", binary)
+
+cv.waitKey(0)
+cv.destroyAllWindows()

Diff for: python/code_066/binary2.png

@@ -0,0 +1,21 @@
+import cv2 as cv
+import numpy as np
+
+src = cv.imread("morph.png")
+cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+cv.imshow("input", src)
+
+# 图像二值化
+gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
+ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
+
+# 黑帽操作
+se = cv.getStructuringElement(cv.MORPH_RECT, (9, 9), (-1, -1))
+binary = cv.morphologyEx(binary, cv.MORPH_BLACKHAT, se)
+
+
+cv.imshow("black hat", binary)
+cv.imwrite("binary2.png", binary)
+
+cv.waitKey(0)
+cv.destroyAllWindows()

Diff for: python/code_066/close.png

@@ -0,0 +1,26 @@
+import cv2 as cv
+
+src = cv.imread("hist_01.jpg",0)
+cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+cv.imshow("input", src)
+
+# 形态学梯度 - 基本梯度
+se = cv.getStructuringElement(cv.MORPH_RECT, (5, 5), (-1, -1))
+basic = cv.morphologyEx(src, cv.MORPH_GRADIENT, se)
+cv.imshow("basic gradient", basic)
+
+# 外梯度
+dilate = cv.morphologyEx(src, cv.MORPH_DILATE, se)
+exteral = cv.subtract(dilate, src)
+cv.imshow("external gradient", exteral)
+
+# 内梯度
+erode = cv.morphologyEx(src, cv.MORPH_ERODE, se)
+interal = cv.subtract(src, erode)
+cv.imshow("interal gradient", interal)
+
+cv.imwrite("gradient.png", basic)
+cv.imwrite("external.png", exteral)
+cv.imwrite("interal.png", interal)
+cv.waitKey(0)
+cv.destroyAllWindows()

Diff for: python/code_066/fill.png

@@ -0,0 +1,31 @@
+import cv2 as cv
+
+src = cv.imread("kd02.png")
+src = cv.resize(src,(800,300),interpolation=cv.INTER_CUBIC)
+cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
+cv.imshow("input", src)
+
+# 形态学梯度 - 基本梯度
+se = cv.getStructuringElement(cv.MORPH_RECT, (3, 3), (-1, -1))
+basic = cv.morphologyEx(src, cv.MORPH_GRADIENT, se)
+cv.imshow("basic gradient", basic)
+
+gray = cv.cvtColor(basic, cv.COLOR_BGR2GRAY)
+ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
+cv.imshow("binary", binary)
+
+se = cv.getStructuringElement(cv.MORPH_RECT, (1, 5), (-1, -1))
+binary = cv.morphologyEx(binary, cv.MORPH_DILATE, se)
+out, contours, hierarchy = cv.findContours(binary, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
+for c in range(len(contours)):
+    x, y, w, h = cv.boundingRect(contours[c])
+    area = cv.contourArea(contours[c])
+    if area < 200:
+        continue
+    if h > (3*w) or h < 20:
+        continue
+    cv.rectangle(src, (x, y), (x+w, y+h), (0, 0, 255), 1, 8, 0)
+
+cv.imshow("result", src)
+cv.waitKey(0)
+cv.destroyAllWindows()