{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#
پیدا کردن گوشه‌ها با روش Shi-Tomasi
\n", "\n", "
در نوت‌بوک قبلی روش Harris برای پیدا کردن گوشه ها را مشاهده کردیم، بعد از معرفی این روش، چند سال بعد در سال 1994 میلادی دو محقق با نامهای Shi و Tomasi به کمی تغییرات در روش Harris در مقاله ای تحت عنوان Good Features to Track به دقت بهتر دست یافتند.\n", "
\n", "تابع امتیاز دهی در آشکارساز گوشه هریس توسط:\n", "
\n", "\n", "$$R = \\lambda_1 \\lambda_2 - k(\\lambda_1+\\lambda_2)^2$$\n", "\n", "
که این دو محقق با بازنگری در این تابع امتیاز دهی به جای فرمول بالا از فرول زیر استفاده کردند:\n", "
\n", "\n", "$$R = \\min(\\lambda_1, \\lambda_2)$$\n", "\n", "
که مثل سابق، اگر مقدار این تابع بیشتر از حد آستانه باشد، گوشه محسوب می شود.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
\n", "که طبق تصویر ناحیه‌ی سبز رنگ به معنای این است که هم \n", "$\\lambda_1$\n", "و هم\n", "$\\lambda_2$\n", "بالای حد آستانه هستند که به معنی وجود گوشه است!\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "در OpenCV این روش در تابع goodFeaturesToTrack پیاده سازی شده است.
\n", "این تابع به عنوان پارامتر ورودی روش گوشه یابی را از شما دریافت کرده (Shi-Tomasi یا تشخیص گوشه هریس، اگر مشخص کنید) و سپس N گوشه قوی تر(بزرگترین اعداد متریک بالا) را پیدا می کند. \n", "طبق معمول، تصویر باید یک تصویر سطح-خاکستری باشد. \n", "سپس تعداد گوشه هایی را که می خواهید پیدا کنید مشخص می کنید. \n", "سپس سطح کیفیت را مشخص می‌کنید که مقداری بین 0-1 است که نشان‌دهنده حداقل کیفیت گوشه‌ای است که زیر آن همه رد می‌شوند. \n", "سپس حداقل فاصله اقلیدسی بین گوشه های شناسایی شده را ارائه می کنیم.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "برای مثال در کد زیر تلاش میکنیم که 25 گوشه برتر را پیدا کنیم:\n", "
" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import cv2\n", "import matplotlib.pyplot as plt\n", "\n", "img = cv2.imread('images/blox.jpg')\n", "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n", "corners = cv2.goodFeaturesToTrack(gray,25,0.01,10)\n", "corners = np.int0(corners)\n", "for i in corners:\n", " x,y = i.ravel()\n", " cv2.circle(img,(x,y),3,255,-1)\n", "plt.imshow(img),plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "https://docs.opencv.org/4.x/d4/d8c/tutorial_py_shi_tomasi.html" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 4 }