lengoanhcat
Junior Member level 2
chevp
CHEVP = Canny / Hough Estimation of Vanishing Point
**broken link removed**
(ii) Straight Lines Detection by Hough Transform
The detected edge points are used to vote for possible lines in the space of line parameters. The image is here partitioned into a small number of horizontal sections, i.e. five as shown in Figure 2(a), in order to accommodate the change in road vanishing point due to the bend of the road. The height of image section is gradually reduced as moving to the upper part of image (please refer to Figure 2(a)). Notice that, each image section has its own space of line parameters, and edge points in each image section vote separately for possible straight lines in that section.
By suitably thresholding the normalized accumulator spaces, line segments can be finally detected for each image section (Figure 2(b)).
I wonder about the bold part.
What is the technique of thresholding the normalized accumulator spaces ?
What books or chapters are this technique written in?
If possible, please give me some simple / brief explanation
Any ideas for helping me is appreciated
Cat Le
CHEVP = Canny / Hough Estimation of Vanishing Point
**broken link removed**
(ii) Straight Lines Detection by Hough Transform
The detected edge points are used to vote for possible lines in the space of line parameters. The image is here partitioned into a small number of horizontal sections, i.e. five as shown in Figure 2(a), in order to accommodate the change in road vanishing point due to the bend of the road. The height of image section is gradually reduced as moving to the upper part of image (please refer to Figure 2(a)). Notice that, each image section has its own space of line parameters, and edge points in each image section vote separately for possible straight lines in that section.
By suitably thresholding the normalized accumulator spaces, line segments can be finally detected for each image section (Figure 2(b)).
I wonder about the bold part.
What is the technique of thresholding the normalized accumulator spaces ?
What books or chapters are this technique written in?
If possible, please give me some simple / brief explanation
Any ideas for helping me is appreciated
Cat Le