I am trying to detect corners of an image using corner_harris.
But the corners are not displayed correctly.
Does anyone know how to get the corners correct?
I am attaching input.
from skimage.feature import corner_harris, corner_peaks
from matplotlib import pyplot as plt
from skimage import color
from skimage.io import imread
def show_image_with_corners(image, coords, title="Corners detected"):
plt.imshow(image, interpolation='nearest', cmap='gray')
plt.title(title)
plt.plot(coords[:, 1], coords[:, 0], '+r', markersize=15)
plt.axis('off')
def show_image(image, title='Image', cmap_type='gray'):
plt.imshow(image, cmap=cmap_type)
plt.title(title)
read_image = imread('test_img.png')
# Convert image from RGB to grayscale
img_gray = color.rgb2gray(read_image )
# Apply the detector to measure the possible corners
measure_image = corner_harris(img_gray)
# Find the peaks of the corners using the Harris detector
coords = corner_peaks(measure_image, min_distance=5, threshold_rel=0.02)
show_image_with_corners(img_gray, coords)
Now i am getting output as 
Does anyone know how to detect only the rectangles in image? Any idea about parameters used-corner_peaks(measure_image, min_distance=5, threshold_rel=0.02)
How to get only rectangles?