Edge Detection Based on Improved Sobel Operator

Abstract

Abstract-Sobel algorithm is an important method of image edge detection. Comparing the Sobel operator with several other edge detection operators used frequently and making a further study on the classical Sobel operator, the advantages of Sobel operator are its fast detection speed, meanwhile , it has an effect on smoothing and suppressing noise. Also, Sobel operator has a good effect on edge detection. Although Sobel operator has advantages in many aspects, it exists some problems: the Sobel operator is a kind of edge detection in horizontal and vertical direction, so it neglects edge points in other directions. It can not achieve a true detection for the points on image edge. In this paper, the algorithm is based on the Sobel operator, an increase of 45 degrees and 135 degrees 2 direction template, while the main edge of the oblique, re-assigned the weight of the operator template. At the same time, in order to achieve an effect of detection, binarization method is used to make an edge thinning for detected image. According to simulation experiments, they show this method is simple and feasible, and the detective result is more concrete and abundant than traditional Sobel edge detection. Some problems are improved, such as traditional Sobel edge is rough and detection is incomplete.

Navigation Algorithm Based on the Boundary Line of Tillage Soil Combined with Guided Filtering and Improved Anti-Noise Morphology

“…Different edge extraction results obtained by applying the improved anti-noise morphology algorithm and other popular existing edge extraction algorithms such as Sobel [36,37,38,39,40], Roberts [41,42], Prewitt [43,44], and Log [45] are shown in Figure 15. There were some breakages in the extracted edges using the latter four algorithms, which led to large errors during navigation line identification processing.…”

A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery

“…As shown in Table 5, the best AP and CS are obtained when applying the Sobel operator. It can be explained by the fact that the Sobel operator affects smoothing and suppressing noise [47].…”

Navigation Algorithm Based on the Boundary Line of New & Old Soil Using Improved Anti-Noise Morphology

“…The navigation error can decrease from 10° by using the traditional morphology algorithm to 0.5° by using the improved anti-noise morphology. The comparison edge extraction result between the improved anti-noise morphology algorithm and the popular edge extraction algorithms such as Sobel [36][37][38][39][40], Roberts [41,42], Prewitt [43,44] and Log [45] is shown in Figure 15. There are some breakages in the extracted edges by using the later four algorithms which will lead to large error during navigation line identification processing.…”