کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
527521 | 869331 | 2007 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An adaptive level-selecting wavelet transform for texture defect detection
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
We present an effective approach based on wavelet transform (WT) to detect defects on images with high frequency texture background. The original image is decomposed at various levels by WT. Then, by selecting an appropriate level at which the approximation sub-image is reconstructed, textures on the background are effectively removed. Thus, the difficult texture defect detection problem can be settled by non-texture techniques. An adaptive level-selecting scheme is presented by analyzing the co-occurrence matrices (COM) of the approximation sub-images. Experiments are done to detect the stains and broken points on texture surfaces. Comparisons with frequency domain low and high pass filters show that our method is much more effective.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 25, Issue 8, 1 August 2007, Pages 1239–1248
Journal: Image and Vision Computing - Volume 25, Issue 8, 1 August 2007, Pages 1239–1248
نویسندگان
Yanfang Han, Pengfei Shi,