Research on Wavelet Transform Modulus Maxima and OTSU in Edge Detection

During routine bridge maintenance, edge detection allows the partial condition of to be viewed. However, many methods often have unsatisfactory performances when dealing with images complex backgrounds. Moreover, processing involves manual selection thresholds, which can result in repeated testing and comparisons. To address these problems this paper, wavelet transform modulus maxima method is used detect target image, then threshold value image determined automatically according OTSU remove pseudo-edges. Thus, real edges detected. The results show that information entropy SSIM are highest compared commonly Canny Laplace algorithms, means quality optimal. more fully illustrate advantages backgrounds were detected algorithms paper still In addition, automatic thresholds saves operator’s effort improves efficiency. Thanks combined use above two methods, efficiency significantly improved, has a good application engineering practice.