کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1784381 1524120 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integration of local information-based transition region extraction and thresholding
ترجمه فارسی عنوان
یکپارچگی کشف و انتقال آستانه گذار منطقه ای مبتنی بر اطلاعات محلی
کلمات کلیدی
آنتروپی محلی، تفاوت سیاه و سفید محلی، تقسیم بندی، منطقه انتقال
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی


• We present a simple but effective method of transition region extraction and thresholding.
• The integration of the weighted local entropy with the improved local grayscale difference accurately depicts characteristics of transition regions.
• The proposed method yields effective and efficient thresholding results.

Transition region-based thresholding method utilizes the pixel location and neighborhood information to segment an image into a number of interesting regions which have specific characteristics in recent years. In this paper, a novel transition region extraction and thresholding method is proposed, which is based on the integration of the weighted local entropy with the improved local grayscale difference. The integration of two modified local information can character the intrinsic quality of transition regions easily and effectively. For some synthetic and real images, the proposed method is quantitatively and qualitatively compared with other transition region-based thresholding methods such as local entropy method, gray level difference method, modified local entropy method, and as well gray-level histogram-based thresholding methods e.g. Otsu-based method and entropy-based method. The experimental results have confirmed the validity and efficiency of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 66, September 2014, Pages 103–113
نویسندگان
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