English Literature Translation (Edge Detection)

Many people think that canny edge detection algorithm is the best edge detector. Canny edge detection algorithm is the best edge detection tool known by many people. Canny's intention is to enhance many edge detectors that he had prepared when he started working. Canny's intention is to improve many edge detection tools that were outdated when he started his own research. He achieved his goal very successfully, and his ideas and methods can be found in his paper "Calculation Method of Edge Detection". He achieved his goal very successfully, and his ideas and methods can be seen in this article. In his thesis, he followed a series of standards to improve the current edge detection methods. In this paper, he follows a series of standards to improve the existing edge detection methods. The first and most obvious is the low error rate. The first and most obvious is the low error rate. It is important that the edges appearing in the image should not be missed and there is no response to non-edges. The following two points are very important, that is, the edges appearing in the image should not be missed, and the non-edges are unresponsive. The second criterion is that the edge points are well located. The second criterion is that the edge points are well located. In other words, the distance between the edge pixels found by the detector and the actual edge is the smallest. In other words, the distance between the edge pixels found by the detector and the actual edge should be the smallest. The third criterion is that there is only one response to a single edge. The third criterion is that there is only one response to a single edge. This is achieved because the first two are not enough to completely eliminate the possibility of multiple responses to an edge. This paper is realized because the first two articles are not enough to completely eliminate the possibility of multiple responses of an edge.