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Directional textures auto-inspection using discrete cosine transform

机译:使用离散余弦变换的方向纹理自动检查

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This paper describes a global image restoration scheme using a discrete cosine transform (DCT) that can be used to detect defects in directional textured surfaces automatically. The input spatial domain image is first transformed into the DCT domain so that the dominant directions of the texture in the input image will be compacted into the orthogonal straight lines or impulses through the direct current (DC) component of the spectrum. The linear primitives associated with the high-energies in the DCT domain are eliminated by reducing them to zero before transforming back to the spatial domain. Finally, the defects, if any, are extracted by the thresholding method. Experiments on a variety of product surfaces with directional textures such as straight, slanted, orthogonal, slanted orthogonal, and oblique linear primitives were conducted in this paper. The proposed scheme would blur directional textures and preserved only local defects if they were initially embedded in the image. Furthermore, some preliminary experiments were also conducted to demonstrate the proposed scheme was insensitive to horizontal and vertical shifting, changes in illumination, and image rotation.
机译:本文介绍了一种使用离散余弦变换(DCT)的全局图像恢复方案,该方案可用于自动检测定向纹理表面中的缺陷。首先将输入空间域图像转换为DCT域,以便将输入图像中纹理的主要方向压缩为正交直线或通过频谱的直流(DC)分量的脉冲。通过在将DCT域中的高能量转换回空间域之前将其减小为零,可以消除与它们相关的线性图元。最后,通过阈值化方法提取缺陷(如果有)。本文在具有定向纹理的各种产品表面上进行了实验,例如直的,倾斜的,正交的,倾斜的正交的和倾斜的线性图元。如果最初将它们嵌入图像中,则所提出的方案将模糊方向纹理并仅保留局部缺陷。此外,还进行了一些初步实验以证明所提出的方案对水平和垂直移位,照明变化和图像旋转不敏感。

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