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Detect lane lines markings on road using OpenCV Image Processing, Canny Edge Detection, Frame Masking and Hough Transform.

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ritika-0111/Lane-Line-Detection-with-CV

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Lane-Line-Detection-with-CV

AIM:

The objective of the program given is to perform edge detection of images in real-time.

Strategy:

  1. Applying Canny Detector : It is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.
  2. Frame Masking : To detect markings in the lane, we need to mask the rest part of the frame and for this we are using frame masking.
  3. Hough Transform : The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing.
  4. Visualization : The lane is visualized as two light green lines, linearly fitted polynomials which will be overlayed on our input frame.

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Detect lane lines markings on road using OpenCV Image Processing, Canny Edge Detection, Frame Masking and Hough Transform.

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