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% Document Info
\author{reehandn}
\pdfinfo{
  /Title (noise-removing-method-median-python-cheatsheet.pdf)
  /Creator (Cheatography)
  /Author (reehandn)
  /Subject (Noise Removing Method : Median Python Cheatsheet Cheat Sheet)
}

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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
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    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{Noise Removing Method : Median Python Cheatsheet Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{reehandn} via \textcolor{DarkBackground}{\uline{cheatography.com/208413/cs/44633/}}}
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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{LL}
  \SetRowColor{FootBackground}
  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}reehandn \\
  \uline{cheatography.com/reehandn} \\
  \end{tabulary}
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\columnbreak
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 13th October, 2024.\\
   Page {\thepage} of \pageref{LastPage}.
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  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
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\begin{document}
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\begin{multicols*}{3}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{1. Import Library}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{import cv2 \newline import numpy as np} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2: Merupakan library OpenCV yang digunakan untuk pengolahan gambar. Fungsinya adalah memanipulasi gambar, termasuk membaca, menampilkan, dan mengolahnya. \newline  \newline numpy: Digunakan untuk operasi numerik pada array multidimensi, seperti manipulasi data citra yang diwakili dalam bentuk matriks piksel.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{4. Identifikasi Kernel}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{kernel\_size = 5 \newline pad = kernel\_size // 2} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{kernel\_size = 5: Menentukan ukuran kernel atau jendela yang digunakan untuk melakukan median filtering. Dalam hal ini, ukuran kernel adalah 5x5. \newline  \newline pad = kernel\_size // 2: Menentukan ukuran padding (jumlah baris dan kolom di sekitar piksel pusat). Padding digunakan agar jendela kernel dapat diterapkan di setiap piksel. Di sini, padding adalah 2 karena 5 // 2 = 2.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{7. Iterasi Setiap Pixel pada Gambar}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{for i in range(pad, image.shape{[}0{]} - pad): \newline     for j in range(pad, image.shape{[}1{]} - pad):} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{image.shape{[}0{]}: Jumlah baris (tinggi gambar). \newline image.shape{[}1{]}: Jumlah kolom (lebar gambar). \newline Loop ini menelusuri setiap piksel dalam gambar, tetapi menghindari bagian tepi (sesuai dengan nilai padding). Hal ini karena kernel 5x5 membutuhkan piksel tetangga di sekitar piksel pusat, dan di tepi tidak ada cukup piksel untuk membentuk jendela lengkap.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{2. Reading Dataset}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{image = cv2.imread('C:/Kuliah ya ges yak/Semester 3/PCD/Foto/example.jpg')} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2.imread(): Membaca gambar dari file di path yang ditentukan. Gambar akan disimpan sebagai array multidimensi (matriks piksel) dalam variabel image. \newline Jika path atau file salah, None akan dikembalikan.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{5. Array Kosong untuk hasil Filtering}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{median\_filtered\_image = np.zeros\_like(image)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{np.zeros\_like(image): Membuat array dengan ukuran yang sama seperti gambar asli, tetapi diisi dengan nilai 0. Array ini akan menyimpan hasil gambar setelah proses median filtering.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{8. Ekstraksi Kernel}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{kernel = image{[}i-pad:i+pad+1, j-pad:j+pad+1, channel{]}.flatten()} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{image{[}i-pad:i+pad+1, j-pad:j+pad+1, channel{]}: Ini mengambil area 5x5 (kernel) di sekitar piksel (i, j) untuk channel yang sedang diproses. \newline flatten(): Mengubah kernel 2D (5x5) menjadi array 1D untuk memudahkan pengurutan dan pengambilan nilai median.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{Menampilkan Hasil Gambar Asli dan Hasil Median}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2.imshow('Original Image', image) \newline cv2.imshow('Median Filtered Image', \seqsplit{median\_filtered\_image.astype(np.uint8))}} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2.imshow(): Menampilkan gambar di jendela baru. \newline  \newline 'Original Image': Jendela untuk menampilkan gambar asli. \newline  \newline 'Median Filtered Image': Jendela untuk menampilkan gambar hasil filtering. \newline  \newline median\_filtered\_image.astype(np.uint8): Mengonversi tipe data hasil filtering menjadi uint8 (8-bit unsigned integer), yang merupakan format standar gambar untuk ditampilkan.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{3. Validasi Gambar Terbaca}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{if image is None: \newline     print("Gambar tidak dapat dibaca. Periksa path dan nama file.") \newline else:} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{if image is None:: Mengecek apakah gambar berhasil dibaca. Jika gambar tidak ditemukan atau gagal dibaca (misalnya karena kesalahan path), program mencetak pesan error.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{6. Iterasi Jumlah Channel pada RGB}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{for channel in range(image.shape{[}2{]}):} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{image.shape{[}2{]}: Mengambil jumlah channel pada gambar. Untuk gambar berwarna (RGB), ada tiga channel: biru (B), hijau (G), dan merah (R). \newline Loop ini memastikan bahwa median filtering diterapkan pada setiap channel secara terpisah.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{9. Menghitung Median dari Pixel dalam Kernel}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{median\_filtered\_image{[}i, j, channel{]} = np.median(kernel)} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{np.median(kernel): Menghitung nilai median dari array yang dihasilkan dari kernel. Nilai median ini kemudian ditugaskan sebagai nilai baru untuk piksel (i, j) pada channel yang sesuai dalam gambar hasil.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{5.377cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{5.377cm}}{\bf\textcolor{white}{11. Menunggu dan menutup jendela program}}  \tn
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2.waitKey(0) \newline cv2.destroyAllWindows()} \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{5.377cm}}{cv2.waitKey(0): Menunggu sampai pengguna menekan tombol untuk menutup jendela gambar. \newline  \newline cv2.destroyAllWindows(): Menutup semua jendela yang terbuka setelah waitKey() dieksekusi.}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


% That's all folks
\end{multicols*}

\end{document}