Howtosignalprocessing
What Is Contour Approximation? Contour approximation, which uses the Ramer–Douglas–Peucker (RDP) algorithm, aims to simplify a polyline by reducing its vertices given a threshold value. In layman terms, we take a curve and reduce its number of vertices while retaining the bulk of its shape.
- What is a contour in image processing?
- What algorithm is used to detect lines in contour detection?
- How do you find the area of contour?
What is a contour in image processing?
Contours are defined as the line joining all the points along the boundary of an image that are having the same intensity. Contours come handy in shape analysis, finding the size of the object of interest, and object detection.
What algorithm is used to detect lines in contour detection?
Line detection with Canny. Canny is an algorithm made for edge detection. This is the base algorithm for any line edge or contour detection for his accuracy and his ease to use. The example presented below will show how to detect lines into an image with the canny algorithm.
How do you find the area of contour?
Contours are used for shape analysis and object detection and recognition etc. To compute the area and perimeter of an object, we first detect the contour of the object and then apply cv2. contourArea() and cv2. arcLength() functions respectively.
