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用CaptureFromCAM函數對圖像進行提取: capture = cv.CaptureFromCAM(0) 讀取直接的視頻文件只需將語句改變為: capture = cv.VideoCapture('videoname.avi')
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對每一幀圖像進行讀取: while True:
img = cv.QueryFrame(capture)
#如果按下 esc 鍵則終止程序退出 if cv.WaitKey(10) == 27:
break
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在循環中對讀取的每一幀圖像進行二值化處理:
def binaryThreshold(Image, threshold):
grey = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U, 1) out = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U, 1)cv.CvtColor(Image,grey,cv.CV_BGR2GRAY)
cv.Threshold(grey, out , threshold , 255 ,cv.CV_THRESH_BINARY)return out
其中,CreateImage 函數表示按原幀大小創建 256 值 1 通道的灰度圖像, CvtColor 函數將傳入的圖像從 RGB 圖像轉換成灰度圖,寫入 grey 圖像。 Threshold函數按程序開始時threshold = input("threshold=")語句獲取的用 戶輸入的的閾值將圖像進行二值化寫入 out 圖像。將 out 圖像作為函數返回 值傳入主函數。 -
在每一幀圖像上覆蓋“3100102592 menglixia”的文字:
(width, height) = cv.GetSize(img)
text_font = cv.InitFont(cv.CV_FONT_HERSHEY_DUPLEX, 2, 2) cv.PutText(img, "3100102592 menglixia", (50, height / 2), text_font, cv.RGB(255, 0, 0))
獲取圖像高度和寬度,並初始化文字字體,在 1/2 高度處寫入“3100102592 menglixia”的字符串,以顏色紅色(在二值化后的圖像中顯示為 黑色)
5. 顯示每一幀圖像:
cv.ShowImage("camera",img)
#coding=utf-8 import cv2.cv as cv def binaryThreshold(Image, threshold): grey = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U, 1) out = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U, 1) cv.CvtColor(Image,grey,cv.CV_BGR2GRAY) cv.Threshold(grey, out ,threshold , 255 ,cv.CV_THRESH_BINARY) return out if __name__ == '__main__': #threshold = input("threshold=") cv.NamedWindow("camera",1) capture = cv.CaptureFromCAM(0) while True: """ capture image from camera """ img = cv.QueryFrame(capture) """ convert color image to grey """ #img = binaryThreshold(img, threshold) """ Get the width and height of the image """ (width, height) = cv.GetSize(img) """ put text id and name in image """ text_font = cv.InitFont(cv.CV_FONT_HERSHEY_DUPLEX, 2, 2) cv.PutText(img, "3100102592 menglixia", (50, height / 2), text_font, cv.RGB(255, 255, 0)) """ show each frame """ cv.ShowImage("camera",img) """ press esc to quit the script """ if cv.WaitKey(10) == 27: break del(capture) cv.DestroyWindow("camera")
