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This document presents complementary experiments on the published algorithm of Thick Line Segment Detection with Fast Directional Tracking. The main paper is actually published at ICIAP 2019 [2]. First tests compare the performance of the detector with and without adaptive directional scans (ADS) and assigned thickness control (ATC). On the detector without ADS, the fine tracking step must be performed twice to get less risk of growing blurred segment escape from the scan strip. 1 Experimentations on synthesized images These tests compare both versions on a set of 1000 synthesized images containing 10 randomly placed input segments with random width between 2 and 5 pixels. The absolute value of the difference of each found segment to its matched input segment is measured. On these groundtruth image, the numerical error on the gradient extraction biases the line width measures. This bias was first estimated using 1000 images containing only one input segment (no possible interaction) and the found value (1.4 pixel) was taken into account in the test. Results are given in the following table. If we call S the count of pixels of all input segments in an image, D the count of pixels of all output blurred segments, and I the count of successfully detected pixels (D ∩ S), the given measures are: 1. the count of output blurred segments, 2. the count of output long (> 40 pixels) blurred segments, 3. the count of undetected input segments, 4. the precision P = I/D, 5. the recall R = I/S, 6. the F-measure F = 2.P.R/(P + R), 7. the absolute value of the width difference between matched output segments with input segments, 8. the absolute value of the angle difference between matched output segments with input segments.

Complementary Experiments of the Thick Line Segment Detection Algorithm: Evaluation of ADS and ATC Concepts