外文翻譯---圖像的邊緣檢測-文庫吧
2025-01-02 23:24 本頁面
【正文】 tion one of classical technical difficult problems, its solution carries on the high level regarding us the characteristic description, the recognition and the understanding and so on has the significant influence。 Also because the edge examination all has in many aspects the extremely important use value, therefore how the people are devoting continuously in study and solve the structure to leave have the good nature and the good effect edge examination operator the usual situation, we may the signal in singular point and the point of discontinuity thought is in the image peripheral point, its nearby gradation change situation may reflect from its neighboring picture element gradation distribution gradient. According to this characteristic, we proposed many kinds of edge examination operator: If Robert operator, Sobel operator, Prewitt operator, Laplace operator and so methods many are wait for the processing picture element to carry on the gradation analysis for the central neighborhood achievement the foundation, realized and has already obtained the good processing effect to the image edge extraction. . But this kind of method simultaneously also exists has the edge picture element width, the noise jamming is serious and so on the shortings, even if uses some auxiliary methods to perform the denoising, also corresponding can bring the flaw which the edge fuzzy and so on overes with with the wavelet analysis appearance, its good time frequency partial characteristic by the widespread application in the imagery processing and in the pattern recognition domain, bees in the signal processing the monly used method and the powerful the wavelet analysis, may interweave deposes in the same place each kind of posite signal the different frequency the block signal, but carries on the edge examination through the wavelet transformation, may use its multicriteria and the multiresolution nature fully , real effective expresses the image the edge the wavelet transformation criterion reduces, is more sensitive to the image detail。 But when the criterion increases, the image detail is filtered out, the examination edge will be only the t
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