Detect

Rectangle detection using hough transform opencv python

Rectangle detection using hough transform opencv python
  1. How to detect rectangles in OpenCV Python?
  2. How could the Hough transformation be used to detect rectangles?

How to detect rectangles in OpenCV Python?

Find the approximate contour for each of the contours. If the number of vertex points in the approximate contour is 4 then we compute the aspect ratio to make a difference between the rectangle and square. If the aspect ratio is between 0.9 and 1.1 we say it is a square else a rectangle See the below pseudocode.

How could the Hough transformation be used to detect rectangles?

Every pixel of the image is scanned, and a sliding window is used to compute the Hough transform of small regions of the image. Peaks of the Hough image (which correspond to line segments) are then extracted, and a rectangle is detected when four extracted peaks satisfy certain geometric conditions.

How can I correlate two noisy voices in order to enhance their result?
What is noise correlation?What is signal to noise ratio in audio?How to increase SNR output? What is noise correlation?The noise components of two n...
Real time FFT - Wouldn't zero-padding a signal at the end distorts the output?
What does zero padding do to FFT?Does zero padding improve FFT resolution?What is the effect of zero padding in frequency domain?Why zero padding is ...
Rayleigh Bandwidth Calculation-Radar
How do you calculate bandwidth of a signal?How do you calculate absolute bandwidth?What is radar bandwidth?What is essential bandwidth? How do you c...