Table 1 Performance measures of proposed methodology with reference road map Images Completeness % Correctness % Quality % Test image 1 89 99 89 Test image 2 83 94 83 Test image 3 89 95 85 Test image 4 95 98 93 Test image 5 90 95 86 Average 90966 87.
completeness, correctness and quality.
Completeness, correctness, and quality measures that are evaluated for four images are given in their paper.
This comparison shows that the maximum difference in completeness, correctness, and quality values is around 1% with noiseless values.
Thus for comparison with other works, minimum, maximum and average values for completeness, correctness and quality are considered.
Performance measures such as completeness, correctness, and quality are the most important parameters for the evaluation of the road extraction.
Completeness, correctness, and quality measures are calculated for ten different images, and the values are tabulated in their work.
The graph is plotted for the comparison of completeness, correctness, and quality of various algorithms with the proposed work.
The average value of completeness, correctness, and quality of various images are 90%, 96%, and 87%, respectively.
The performance of the proposed road extraction is observed by calculating the performance measures such as completeness, correctness, and quality.
