Question

我正在尝试检测蓝色，黄色和粉红色三种颜色蓝色和黄色的工作正常，但粉红色的工作，我不知道为什么但我认为这一行的问题 cv.Line（imdraw，粉红色[0]，粉红色[1]，（0,255,0），3,8,0）任何人都可以帮助我!!

import cv
global imghsv
import Adafruit_BBIO.GPIO as GPIO

GPIO.setup("P8_11", GPIO.OUT)
GPIO.setup("P8_12", GPIO.OUT)
GPIO.setup("P8_13", GPIO.OUT)

def getthresholdedimg(im):

    '''this function take RGB image.Then convert it into HSV for easy colour detection and threshold it with yellow and blue part as white and all other regions as black.Then return that image'''
    global imghsv
    imghsv=cv.CreateImage(cv.GetSize(im),8,3)
    cv.CvtColor(im,imghsv,cv.CV_BGR2HSV)                # Convert image from RGB to HSV

    # A little change here. Creates images for blue and yellow (or whatever color you like).
    imgyellow=cv.CreateImage(cv.GetSize(im),8,1)
    imgblue=cv.CreateImage(cv.GetSize(im),8,1)
        imgpink=cv.CreateImage(cv.GetSize(im),8,1)

    imgthreshold=cv.CreateImage(cv.GetSize(im),8,1)

    cv.InRangeS(imghsv,cv.Scalar(20,100,100),cv.Scalar(30,255,255),imgyellow)   # Select a range of orange color
    cv.InRangeS(imghsv,cv.Scalar(100,100,100),cv.Scalar(120,255,255),imgblue)   # Select a range of blue color
    cv.InRangeS(imghsv,cv.Scalar(10,100,100),cv.Scalar(11,255,255),imgpink) # Select a range of pink color
        cv.Add(imgyellow,imgblue,imgthreshold)
    return imgthreshold

capture=cv.CaptureFromCAM(0)
frame = cv.QueryFrame(capture)
frame_size = cv.GetSize(frame)
test=cv.CreateImage(cv.GetSize(frame),8,3)
img2=cv.CreateImage(cv.GetSize(frame),8,3)
cv.NamedWindow("Real",0)
cv.NamedWindow("Threshold",0)
cv.NamedWindow("final",0)

#   Create two lists to store co-ordinates of blobs
blue=[]
yellow=[]
pink=[]

while(1):
    color_image = cv.QueryFrame(capture)
    imdraw=cv.CreateImage(cv.GetSize(frame),8,3)
    cv.SetZero(imdraw)
    cv.Flip(color_image,color_image,1)
    cv.Smooth(color_image, color_image, cv.CV_GAUSSIAN, 3, 0)
    imgyellowthresh=getthresholdedimg(color_image)
    cv.Erode(imgyellowthresh,imgyellowthresh,None,3)
    cv.Dilate(imgyellowthresh,imgyellowthresh,None,10)
    img2=cv.CloneImage(imgyellowthresh)
    storage = cv.CreateMemStorage(0)
    contour = cv.FindContours(imgyellowthresh, storage, cv.CV_RETR_CCOMP, cv.CV_CHAIN_APPROX_SIMPLE)
    points = [] 

#   This is the new part here. ie Use of cv.BoundingRect()
    while contour:
        # Draw bounding rectangles
        bound_rect = cv.BoundingRect(list(contour))
        contour = contour.h_next()
        print contour
        # for more details about cv.BoundingRect,see documentation
        pt1 = (bound_rect[0], bound_rect[1])
        pt2 = (bound_rect[0] + bound_rect[2], bound_rect[1] + bound_rect[3])
        points.append(pt1)
        points.append(pt2)
        cv.Rectangle(color_image, pt1, pt2, cv.CV_RGB(255,0,0), 1)

    #   Calculating centroids

        centroidx=cv.Round((pt1[0]+pt2[0])/2)
        centroidy=cv.Round((pt1[1]+pt2[1])/2)

    #   Identifying if blue or yellow blobs and adding centroids to corresponding lists 
        if (10<cv.Get2D(imghsv,centroidy,centroidx)[0]<11):
                        GPIO.output("P8_11", GPIO.HIGH)
                        GPIO.output("P8_12", GPIO.LOW)
                        GPIO.output("P8_13", GPIO.LOW)
            yellow.append((centroidx,centroidy))
        elif (100<cv.Get2D(imghsv,centroidy,centroidx)[0]<120):
                        GPIO.output("P8_11", GPIO.LOW)
                        GPIO.output("P8_12", GPIO.HIGH)
                        GPIO.output("P8_13", GPIO.LOW)
            blue.append((centroidx,centroidy))
        elif (10<cv.Get2D(imghsv,centroidy,centroidx)[0]<11):
                        GPIO.output("P8_11", GPIO.LOW)
                        GPIO.output("P8_12", GPIO.LOW)
                        GPIO.output("P8_13", GPIO.HIGH)
            blue.append((centroidx,centroidy))

#       Now drawing part. Exceptional handling is used to avoid IndexError. After drawing is over, centroid from previous part is #     removed from list by pop. So in next frame,centroids in this frame become initial points of line to draw.       
    try:
        cv.Circle(imdraw,yellow[1],5,(0,255,255))
        cv.Line(imdraw,yellow[0],yellow[1],(0,255,255),3,8,0)

        yellow.pop(0)
    except IndexError:
                GPIO.output("P8_11", GPIO.LOW)
        print "Just wait for yellow"

    try:
        cv.Circle(imdraw,blue[1],5,(255,0,0))
        cv.Line(imdraw,blue[0],blue[1],(255,0,0),3,8,0)
        blue.pop(0)         
    except IndexError:
                GPIO.output("P8_12", GPIO.LOW)
        print "just wait for blue"

        try:
        cv.Circle(imdraw,pink[1],5,(0,255,0))
        cv.Line(imdraw,pink[0],pink[1],(0,255,0),3,8,0)

        yellow.pop(0)
    except IndexError:
                GPIO.output("P8_13", GPIO.LOW)
        print "Just wait for pink"  
    cv.Add(test,imdraw,test)

    cv.ShowImage("Real",color_image)
    cv.ShowImage("Threshold",img2)
    cv.ShowImage("final",test)
    if cv.WaitKey(33)==1048603:
        cv.DestroyWindow("Real")
        cv.DestroyWindow("Threshold")
        cv.DestroyWindow("final")
        break

Answer 1

尝试了解PIL.Image模块并使用getpixel((x,y))。

图像颜色检测

1 个答案: