#HOUGH TRANSFORM PRO#
#HOUGH TRANSFORM DOWNLOAD#

a TrueColor display, set the DECOMPOSED keyword to 0 Backproject to compare with original image.īackprojection = HOUGH(transform, /BACKPROJECT, $ Transform = ( TEMPORARY(transform) - 100) > 0 Scale transform to obtain just the power lines.

Transform = HOUGH(mask, RHO = rho, THETA = theta) Mask intensity image to highlight power lines. IntensitySize = SIZE(intensity, /DIMENSIONS) Use layer from green channel as the intensity of the (DHT) that converts the spatial representations to a parametric space 3) the line detector that is responsible to detect lines in the parametric space, and 4) a reverse Hough transform (RHT) that converts the detected lines back to image space. WINDOW, 0, XSIZE = imageSize, YSIZE = imageSize, $ DHT is short for the proposed Deep Hough Transform, and RHT represents the Reverse Hough Transform.

#HOUGH TRANSFORM PRO#

The scaled results are then backprojected by the Hough transform to produce an image of only the power (straight) lines.Ĭode Example: PRO findingPowerLinesInRocklandME The results of the transform are scaled to only include lines longer than 100 pixels. The blog goes through the line detection using Hough transform, its practical applications as well as limitations. The hough transform is a popular feature extraction technique and the blog gives a brief introduction of the same. Hough transform is used for object recognition. The Hough transform is applied to the green band of the image. Hough transform is used in biometrics to identify fingerprints. A saturation composite is normally used to highlight intensities, but the Hough transform is used in this example to extract the power lines, which are straight lines. The circle candidates are produced by voting in the Hough parameter space and then selecting local maxima in an accumulator matrix. The image is a saturation composite of a 24-hour period in Rockland, Maine. The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images.

#HOUGH TRANSFORM DOWNLOAD#

To download the image instead, right-click on the above link and choose 'Save Target As.' from the pop-up menu. NOTE: If you left-click on the above link, your browser may display the image. Please download this file and place it in the examples/data sub-directory under your IDL directory. The image comes from the rockland.png file. This example uses the Hough transform to find straight lines within an image.