#!/usr/bin/env python
import cv2.cv as cv
def precornerdetect(image):
# assume that the image is floating-point
corners = cv.CloneMat(image)
cv.PreCornerDetect(image, corners, 3)
dilated_corners = cv.CloneMat(image)
cv.Dilate(corners, dilated_corners, None, 1)
corner_mask = cv.CreateMat(image.rows, image.cols, cv.CV_8UC1)
cv.Sub(corners, dilated_corners, corners)
cv.CmpS(corners, 0, corner_mask, cv.CV_CMP_GE)
return (corners, corner_mask)