cv_hoge.py

#!/usr/bin/env python
# coding: utf-8
import cv
import numpy
import scipy.misc

image_name = 'hinomaru.jpg'
gray_image_name = 'gray.jpg'
binarized_image_name = 'binarized.jpg'
contours_image_name = 'contours.jpg'
edged_image_name = 'edge.jpg'
THREASHOLD = 120
MAX = 255

def grayScale(imgfile):
    img = cv.LoadImage(imgfile, cv.CV_LOAD_IMAGE_COLOR)
    grayscaled_img = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
    cv.CvtColor(img,grayscaled_img,cv.CV_BGR2GRAY)
    return grayscaled_img

def binarize(image):    
    binarized_img = cv.CreateImage(cv.GetSize(image),cv.IPL_DEPTH_8U,1)
    cv.Threshold(image,binarized_img,THREASHOLD,MAX,cv.CV_THRESH_BINARY)
    return binarized_img

def detectContours(image):
    strage = cv.CreateMemStorage(0)
    contours = cv.FindContours(image,strage,cv.CV_RETR_LIST,cv.CV_CHAIN_APPROX_SIMPLE,(0,0))
    return contours

if __name__ == '__main__':
    #白黒
    grayed_img = grayScale(image_name)
    #二値化
    binarized_img = binarize(grayed_img)
    #境界取得用
    contour_img = cv.CloneImage(binarized_img)
#    contours_mat = cv.GetMat(contour_img)
#    contours_np = numpy.asarray(contours_mat)
#    scipy.misc.imsave("hooo.png", contours_np)
    #境界データ
    contours = detectContours(contour_img)


    img = cv.LoadImage(image_name,cv.CV_LOAD_IMAGE_COLOR)
#    cv.DrawContours(img,contours,cv.CV_RGB(0,255,0),cv.CV_RGB(0,0,255),2,2,cv.CV_AA,(0,0))
#    cv.SaveImage(gray_image_name,grayed_img)
#    cv.SaveImage(binarized_image_name,binarized_img)
#    cv.SaveImage(contours_image_name,contour_img)
#    cv.SaveImage(edged_image_name,img)

    contours_np = numpy.asarray(contours)