:: دوره 9، شماره 4 - ( 12-1400 ) ::
جلد 9 شماره 4 صفحات 18-1 برگشت به فهرست نسخه ها
ارائه روشی نوین به منظور حذف نویز از ابر نقطه سه‌بعدی، به کمک خوشه بندی به روش انتقال میانگین
سحر کمالو، محمدجواد ولدان زوج*، علی حسینی نوه، فهیمه یوسفی
دانشگاه صنعتی خواجه نصیرالدین طوسی
چکیده:   (549 مشاهده)
ابرنقطه­ خام معمولا شامل نویز و نقاط پرت است، بنابراین چالش­هایی برای مدل­سازی و شبکه­بندی سطوح با استفاده از این داده­های سه­بعدی وجود خواهد­ داشت. همچنین حفظ جزئیات، در حین حذف نویز ضروری است. روش­های زیادی بمنظور حذف نویز از ابر نقطه، توسعه یافته­اند اما تنها تعداد کمی از آنها برای حفظ جزئیات در حین حذف نویز مناسب­اند. این مقاله، سعی بر ارائه­ یک روش حذف نویز آماری نوین، با قابلیت حفظ جزئیات را دارد. در روش پیشنهادی ارائه­ شده، ابتدا ابرنقطه با بکارگیری روش انتقال­میانگین خوشه­بندی می­شود و ازآنجایی­که نتیجه خوشه­بندی به اندازه­ پنجره­ جستجو بستگی دارد، اندازه بهینه­ این پنجره از طریق روش بهینه­سازی تپه­نوردی، محاسبه می­گردد. سپس در هر خوشه، فاصله بین هر نقطه با میانگین سایر نقاط آن خوشه محاسبه و با حدآستانه گذاری روی این فواصل و تعداد اعضای هر خوشه، نقاط نویز­ شناسایی و با حفظ جزئیات مانند لبه­ها، حذف می­شوند. نتایج تجربی حاصل از پیاده­سازی روش­ پیشنهادی بر روی سه دسته داده­ سه­بعدی تهیه شده توسط لیزراسکنر، نشان می­دهد که این روش نسبت به روش­ مشابه مطرح شده در پیشینه تحقیق از بهبود دقتی بالغ بر 1 درصد در ضریب صحیح بودن، 13 درصد در ضریب کامل بودن و 5/12 درصد در ضریب کیفیت، برخوردار بوده است.
واژه‌های کلیدی: کلمات کلیدی: ابرنقطه، حذف نویز، جزئیات، خوشه‌بندی، بهینه‌سازی، حدآستانه‌گذاری
متن کامل [PDF 1215 kb]   (128 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: فتوگرامتری
دریافت: 1397/9/17 | پذیرش: 1397/11/27 | انتشار الکترونیک پیش از انتشار نهایی: 1400/10/11 | انتشار: 1400/12/16
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دوره 9، شماره 4 - ( 12-1400 ) برگشت به فهرست نسخه ها