Please explain clearly what you are trying to do. We can't help you without that. For example, what are the images you're using? What are you trying to find within them? Your code is very confused:
image = io.imread("IMG_2.jpg")
What is this image?
thresh = filter.threshold_otsu(image)
binary = image > thresh
Why are you thresholding here?
imag= color.colorconv.rgb2grey(binary)
img = array(imag)
Converting a binary image using rgb2grey makes no sense.
edge_canny = canny(img)
edge_sobel = sobel(img)
contours = measure.find_contours(imag,0.9,'high')
I don't think this function is what you want. If I'm not mistaken, find_countours is used for isocline contour plots, such as this:
print contours
fig, (ax0, ax1) = plt.subplots(ncols=2)
ax0.imshow(imag ,cmap=plt.cm.gray)
ax0.set_title('Roberts Edge Detection')
ax0.axis('off')
ax1.imshow(edge_canny, cmap=plt.cm.gray)
ax1.set_title('Sobel Edge Detection')
ax1.axis('off')
Did you attach the images produced by this plot?
Juan.
