کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5025977 | 1470596 | 2017 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel quantum binary images thinning algorithm: A quantum version of the Hilditch's algorithm
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Skeletonization or thinning process is an important step in pre-processing phase and it is crucial process for many applications such as pattern recognition, data compression/storage, OCR, etc. In classical information, there are several algorithms proposed for the aim of image skeletonization or thinning. One of the widely used algorithm for this purpose is Hilditch's algorithm. In this paper a novel quantum version of Hilditch's algorithm for quantum image thinning is proposed where the novel enhanced quantum representation of digital images (NEQR model) is employed for representation of the quantum images. The proposed algorithm can be considered as the first quantum image thinning algorithm used in any schemes proposed in the growing field of quantum image processing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 131, February 2017, Pages 678-686
Journal: Optik - International Journal for Light and Electron Optics - Volume 131, February 2017, Pages 678-686
نویسندگان
Mosayeb Naseri, Shahrokh Heidari, Reza Gheibi, Li-Hua Gong, Mehrdad Ahmadzadeh Rajii, Amir Sadri,