218 部品の色むら検出へのWavelet解析の適用(画像処理)

概要

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Recently, industries cannot survive worldwide competition unless they introduce new products with better quality, at lower cost, and with shorter lead time in the production processes. But in the testing process it has not been automated, and the improvement is required. However, it is difficult to attempt the automation for manifold parts in the testing process, and to detect the color uneven area by the simple image processing. Therefore, the inspection is mainly carried out by the visual observation. The automation of the testing process is important thing in view of improvement of the inspection accuracy and shorter lead time. Then, this paper proposes new feature extraction and defects inspection method for slight defects and color uneven area of machine parts by using Wavelet transform. Using this method, the feature extraction filter and defects inspection system for color uneven area of machine parts are developed, and the color uneven area on the black rubber piece is detected. Our experiments have confirmed that the proposed methods are useful for color uneven area defects inspection for machine parts.
社団法人日本機械学会の論文
2000-06-23