Example #1
0
def hough_horizontal(edges, fn, hough_line_len=30, save=True, show=True):
    div = 9
    hough_end = math.pi/2 
    de = 180/div
    hough_start = math.pi/2 - math.pi/div
    ds = 0
    hough_gap = 0.001
    hough_line_gap = 5
    hough_angle = np.arange(hough_start,hough_end, hough_gap)

    lines = probabilistic_hough_line(edges, threshold=30, line_gap=hough_line_gap,line_length=hough_line_len, theta=hough_angle)
    plt.close()
    plt.imshow(edges, cmap=plt.cm.gray)

    pts = []
    for line in lines:
        p0, p1 = line
        pts.append(p0)
        pts.append(p1)
        plt.plot((p0[0], p1[0]), (p0[1], p1[1]), linewidth=1, color='g')
    if save:
        feature = 'h_range' + str(int(ds))+ '_' + str(int(de)) + '_gap' + str(int(hough_line_gap)) + '_len' + str(int(hough_line_len))
        fn = fn + feature        
        plt.title('horizontal hough line' + feature  )
        saveplot(plt, fn)
    return pts, lines
Example #2
0
def hough_all(edges, linesv, linesh, fn, save=True, show=True):
    plt.imshow(edges, cmap=plt.cm.gray)
    for line in linesv:
        p0, p1 = line
        plt.plot((p0[0], p1[0]), (p0[1], p1[1]), linewidth=1, color='r')
    for line in linesh:
        p0, p1 = line
        plt.plot((p0[0], p1[0]), (p0[1], p1[1]), linewidth=1, color='r')
    plt.title('hough lines')
    saveplot(plt, fn)