Crack Detection and Recognition Based on Segmentation and Defective Tracking in Concrete Image

Abstract

      In this paper, automatic Concrete defect segmentation into the Concrete image defect detection evaluation and testing, with Transform Domain is presented. The proposed scheme has three phases. In first phase, a Concrete image enhancement technique, which is performed by logarithmic common variance and enhancement factor, computed from the absolute value of the Transform Domain transformation coefficient as principal parameters for increasing the energy of the masses in the digital Concrete image enhancement. In case of successful enhanced of image in addition to gradient estimation scheme is working to point the edges current, in the next phase. The consequential edge image is again applied with orthogonal polynomials. In the final phase, edge tracking are the salient features with angle based defect identification.