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opencv_tutorial

python

gem_detection.py

gem_detection.py 3.43 KB

####################################################
# 作者:zhigang,
# 微博:https://weibo.com/u/3181256271
####################################################
import cv2 as cv
import numpy as np

class ShapeAnalysis:
 def __init__(self):
 self.shapes = {'triangle': 0, 'rectangle': 0, 'polygons': 0, 'circles': 0}

def analysis(self, frame):
 h, w, ch = frame.shape
 result = np.zeros((h, w, ch), dtype=np.uint8)
 # 二值化图像
 print("start to detect lines...\n")
 gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
 ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
 cv.imshow("input image", frame)

out_binary, contours, hierarchy = cv.findContours(binary, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
 for cnt in range(len(contours)):
 # 提取与绘制轮廓
 cv.drawContours(result, contours, cnt, (0, 255, 0), 2)

# 轮廓逼近
 epsilon = 0.01 * cv.arcLength(contours[cnt], True)
 approx = cv.approxPolyDP(contours[cnt], epsilon, True)

# 分析几何形状
 corners = len(approx)
 shape_type = ""
 if corners == 3:
 count = self.shapes['triangle']
 count = count+1
 self.shapes['triangle'] = count
 shape_type = "三角形"
 if corners == 4:
 count = self.shapes['rectangle']
 count = count + 1
 self.shapes['rectangle'] = count
 shape_type = "矩形"
 if corners >= 10:
 count = self.shapes['circles']
 count = count + 1
 self.shapes['circles'] = count
 shape_type = "圆形"
 if 4 < corners < 10:
 count = self.shapes['polygons']
 count = count + 1
 self.shapes['polygons'] = count
 shape_type = "多边形"

# 求解中心位置
 mm = cv.moments(contours[cnt])
 cx = int(mm['m10'] / mm['m00'])
 cy = int(mm['m01'] / mm['m00'])
 cv.circle(result, (cx, cy), 3, (0, 0, 255), -1)

# 颜色分析
 color = frame[cy][cx]
 color_str = "(" + str(color[0]) + ", " + str(color[1]) + ", " + str(color[2]) + ")"

# 计算面积与周长
 p = cv.arcLength(contours[cnt], True)
 area = cv.contourArea(contours[cnt])
 print("周长: %.3f, 面积: %.3f 颜色: %s 形状: %s "% (p, area, color_str, shape_type))

cv.imshow("Analysis Result", self.draw_text_info(result))
 return self.shapes

def draw_text_info(self, image):
 c1 = self.shapes['triangle']
 c2 = self.shapes['rectangle']
 c3 = self.shapes['polygons']
 c4 = self.shapes['circles']
 cv.putText(image, "triangle: "+str(c1), (10, 20), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "rectangle: " + str(c2), (10, 40), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "polygons: " + str(c3), (10, 60), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "circles: " + str(c4), (10, 80), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 return image

if __name__ == "__main__":
 src = cv.imread("D:/javaopencv/gem_test.png")
 ld = ShapeAnalysis()
 ld.analysis(src)
 cv.waitKey(0)
 cv.destroyAllWindows()

一键复制编辑原始数据按行查看历史

OpenCV学堂提交于 2018年04月14日 16:07 +08:00 . add new tutorial - geometry analysis

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####################################################
# 作者:zhigang,
# 微博:https://weibo.com/u/3181256271
####################################################
import cv2 as cv
import numpy as np


class ShapeAnalysis:
 def __init__(self):
 self.shapes = {'triangle': 0, 'rectangle': 0, 'polygons': 0, 'circles': 0}

 def analysis(self, frame):
 h, w, ch = frame.shape
 result = np.zeros((h, w, ch), dtype=np.uint8)
 # 二值化图像
 print("start to detect lines...\n")
 gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
 ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
 cv.imshow("input image", frame)

 out_binary, contours, hierarchy = cv.findContours(binary, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
 for cnt in range(len(contours)):
 # 提取与绘制轮廓
 cv.drawContours(result, contours, cnt, (0, 255, 0), 2)

 # 轮廓逼近
 epsilon = 0.01 * cv.arcLength(contours[cnt], True)
 approx = cv.approxPolyDP(contours[cnt], epsilon, True)

 # 分析几何形状
 corners = len(approx)
 shape_type = ""
 if corners == 3:
 count = self.shapes['triangle']
 count = count+1
 self.shapes['triangle'] = count
 shape_type = "三角形"
 if corners == 4:
 count = self.shapes['rectangle']
 count = count + 1
 self.shapes['rectangle'] = count
 shape_type = "矩形"
 if corners >= 10:
 count = self.shapes['circles']
 count = count + 1
 self.shapes['circles'] = count
 shape_type = "圆形"
 if 4 < corners < 10:
 count = self.shapes['polygons']
 count = count + 1
 self.shapes['polygons'] = count
 shape_type = "多边形"

 # 求解中心位置
 mm = cv.moments(contours[cnt])
 cx = int(mm['m10'] / mm['m00'])
 cy = int(mm['m01'] / mm['m00'])
 cv.circle(result, (cx, cy), 3, (0, 0, 255), -1)

 # 颜色分析
 color = frame[cy][cx]
 color_str = "(" + str(color[0]) + ", " + str(color[1]) + ", " + str(color[2]) + ")"

 # 计算面积与周长
 p = cv.arcLength(contours[cnt], True)
 area = cv.contourArea(contours[cnt])
 print("周长: %.3f, 面积: %.3f 颜色: %s 形状: %s "% (p, area, color_str, shape_type))


 cv.imshow("Analysis Result", self.draw_text_info(result))
 return self.shapes

 def draw_text_info(self, image):
 c1 = self.shapes['triangle']
 c2 = self.shapes['rectangle']
 c3 = self.shapes['polygons']
 c4 = self.shapes['circles']
 cv.putText(image, "triangle: "+str(c1), (10, 20), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "rectangle: " + str(c2), (10, 40), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "polygons: " + str(c3), (10, 60), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 cv.putText(image, "circles: " + str(c4), (10, 80), cv.FONT_HERSHEY_PLAIN, 1.2, (255, 0, 0), 1)
 return image


if __name__ == "__main__":
 src = cv.imread("D:/javaopencv/gem_test.png")
 ld = ShapeAnalysis()
 ld.analysis(src)
 cv.waitKey(0)
 cv.destroyAllWindows()