AUTOMATIC EXTRACTION OF PLANETARY IMAGE FEATURES
First Claim
1. A feature extraction method, the method comprising:
- computing an image gradient of a Lunar image by using an edge detector;
detecting features in the image gradient by applying a Hough Transform to the image gradient; and
at least one of mapping the features to generate a map, printing the features to generate a printout, and using the detected features to register the Lunar image and generate a registered Lunar image.
1 Assignment
0 Petitions
Accused Products
Abstract
A method for the extraction of Lunar data and/or planetary features is provided. The feature extraction method can include one or more image processing techniques, including, but not limited to, a watershed segmentation and/or the generalized Hough Transform. According to some embodiments, the feature extraction method can include extracting features, such as, small rocks. According to some embodiments, small rocks can be extracted by applying a watershed segmentation algorithm to the Canny gradient. According to some embodiments, applying a watershed segmentation algorithm to the Canny gradient can allow regions that appear as close contours in the gradient to be segmented.
-
Citations
22 Claims
-
1. A feature extraction method, the method comprising:
-
computing an image gradient of a Lunar image by using an edge detector; detecting features in the image gradient by applying a Hough Transform to the image gradient; and at least one of mapping the features to generate a map, printing the features to generate a printout, and using the detected features to register the Lunar image and generate a registered Lunar image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A feature extraction method, the method comprising:
-
computing an image gradient of an image by using an edge detector; applying a watershed segmentation algorithm to the image gradient to extract first objects; applying a generalized Hough Transform to detect ellipses in the image gradient; applying a watershed segmentation algorithm to the image gradient using the detected ellipses as seed points, to extract objects and recesses of elliptical shape; detecting ridges in the image gradient by applying a standard Hough Transform to detect straight lines in the image gradient; and distinguishing one or more objects in the image from a background of the image. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. An image feature extraction system, the system comprising:
a processor configured to compute an image gradient of an image by using an edge detector, apply a watershed segmentation algorithm to the image gradient to extract first objects, apply a generalized Hough Transform to detect ellipses in the image gradient, apply a watershed segmentation algorithm to the image gradient using the detected ellipses as seed points, to extract objects and recesses of elliptical shape, detect ridges in the image gradient by applying a Hough Transform to detect straight lines in the image gradient, and distinguish one or more objects in the image from a background of the image. - View Dependent Claims (20, 21, 22)
Specification