Image Feature Extraction

To differentiate the objects of interest from the rest of the image

Raw color values

To check if the correlation is high and match the template with regions of the test image

<p>The characteristics of the lane markings and the environment in which the detection is performed</p> Signup and view all the answers

<p>The template or model</p> Signup and view all the answers

<p>The default color representation is RGB, and it is used in lane detection by deleting lane markings by thresholding specific range of RGB values.</p> Signup and view all the answers

<p>The HSV color space separates color information (hue), intensity (value), and saturation. It is used in lane detection by isolating lane markings by setting appropriate thresholds on the hue and saturation channels.</p> Signup and view all the answers

<p>The purpose of converting an image to grayscale is to simplify lane detection by focusing only on intensity. The resulting benefit is that grayscale images are effective for detecting lane boundaries based on intensity changes.</p> Signup and view all the answers

<p>RGB uses thresholding of specific range of RGB values to delete lane markings, whereas HSV uses thresholding of hue and saturation channels to isolate lane markings.</p> Signup and view all the answers

<p>The HSV color space is particularly effective for handling varying lighting conditions by separating color information, intensity, and saturation.</p> Signup and view all the answers