# Texture Construction Edge Detection Algorithm
## 3 Experimental Results and Discussion
Figure 14a shows the original test image, where there are obvious textures between the tiles laid on the roof, windows, and door panels; obvious line changes at the intersection of the door and roof; and many obvious cracks on the wall. The edge textures in the edge images from Figure 14b-d are obtained by the methods proposed by [PERSON] and [PERSON], [PERSON] et al., and [PERSON] et al., respectively. The results of edge detection show that only some of the edge textures, such as those of the window frame, door frame, and door panel, are preserved, and many of the effective edge textures are still undetected. Figure 14e is the edge image obtained by the method proposed by [PERSON] and [PERSON]. The experimental results show that it retains more edge texture on the roof, door panel, and wall surface than the above  
Figure 18: Bridge image comparison results of different methods. (**a**) Original image (640 \(\times\) 428) [23]; (**b**) [PERSON] and [PERSON]’s method (\(\mathrm{TH_{H}}\) = 129, \(\mathrm{TH_{L}}\) = 65); (**c**) [PERSON] et al. proposed method (\(\mathrm{TH_{H}}\) = 129, \(\mathrm{TH_{L}}\) = 11); (**d**) [PERSON] et al.’s method (\(\mathrm{TH_{H}}\) = 154, \(\mathrm{TH_{L}}\) = 55); (**e**) [PERSON] and [PERSON]’s method (\(\mathrm{TH_{H}}\) = 64, \(\mathrm{TH_{L}}\) = 25); (**f**) TCEDA. three methods, but the line changes at the intersection of the door and the roof and some of the door panels, roofs, and walls are still undetected. Figure 14f shows the TCEDA proposed in this paper. Compared to the other four methods, a significant edge texture can be effectively preserved on the roof, door panel, and wall. Besides achieving the optimal edge thinning treatment, a richer edge texture is preserved on edge detection. Figure 15 shows the results of a comparison of glass vase images using different methods. Figure 15a is the original test image, where the background on the right side of the vase has significant shadows and there are significant texture changes on various glassware, candlesticks, napkin tablecloths, and leaves. In Figure 15c, edge images are obtained by the methods proposed by [PERSON] and [PERSON] and [PERSON] et al., respectively. The experimental results show that the edge detection results only preserve the peripheral contour of the leaves. The edge textures of the candlestick and some glassware still have many of the effective edge textures missing. Figure 15d shows the edge image obtained by the method proposed by [PERSON] et al. The experimental results show that the above two methods are preserved on the edge texture of the glassware, part of the vase, and the napkin tablecloth, but vases, leaves, and napkins still have many of the edge textures missing. Figure 15e shows an edge image obtained by the method proposed by [PERSON] and [PERSON]. Compared to the above three methods, it retains more edge texture on the vases, leaves, and napkins, but still cannot be more effective in terms of the edge texture detection. Figure 15f shows the TCEDA proposed in this paper. Compared to the other four methods, significant edge texture can be effectively preserved in all types of glassware, vases, candlesticks, and napkin tablecloths. Figure 16 shows the results of a comparison of embossed tile images using different methods. Figure 16a shows the original test image with a distinct pentagonal texture above each tile, obvious seam segments between the tiles, and noticeable wrinkles and texture changes on the jeans. Figure 16b,c show the edge images obtained by the methods proposed by [PERSON] and [PERSON] and [PERSON] et al., and the experimental results show that the edge detection results only retain the edge contour of the foot. There are still many valid edge textures undetected. Figure 16d shows an edge image obtained by the method proposed by [PERSON] et al. The experimental results show that besides effectively retaining the edge contour of the foot, the pentagon texture of the partial tile is detected, but many effective edge textures are still missing.