DIP/main.py at main · KRITHIN913/DIP · GitHub

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import cv2
import numpy as np
import os
import matplotlib.pyplot as plt


def RGBtoGray(imgg, method):
    # Resolve absolute path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    img_path = os.path.join(script_dir, imgg)

    # Read the image (BGR in OpenCV)
    I = cv2.imread(img_path)
    if I is None:
        print("Error: Could not read the image.")
        return

    # Convert to RGB for calculations
    I_rgb = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)
    M, N, _ = I_rgb.shape
    OutputImage = None


    if method == 1:

        # Weighted sum method
        R = I_rgb[:, :, 0].astype(float)
        G = I_rgb[:, :, 1].astype(float)
        B = I_rgb[:, :, 2].astype(float)
        Gray = 0.298936 * R + 0.587043 * G + 0.114021 * B
        OutputImage = Gray.astype(np.uint8)

    elif method== 2:
        # Average method
        OutputImage = np.mean(I_rgb, axis=2).astype(np.uint8)
    elif method== 3:
        # Loop method
        OutputImage = np.zeros((M, N), dtype=np.uint8)
        for i in range(M):
            for j in range(N):
                R = float(I_rgb[i, j, 0])
                G = float(I_rgb[i, j, 1])
                B = float(I_rgb[i, j, 2])
                OutputImage[i, j] = int(0.298936 * R + 0.587043 * G + 0.114021 * B)

def ShowREDplane(imgg):

    # Resolve absolute path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    img_path = os.path.join(script_dir, imgg)

    # Read the image (BGR in OpenCV)
    I = cv2.imread(img_path)
    if I is None:
        print("Error: Could not read the image.")
        return

    # Convert to RGB for calculations
    I_rgb = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)
    M, N, _ = I_rgb.shape
    OutputImage = None

    Ired = I_rgb.copy()
    Ired[:, :, 1] = 0
    Ired[:, :, 2] = 0
    OutputImage = Ired


def ShowGREENplane(imgg):

    # Resolve absolute path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    img_path = os.path.join(script_dir, imgg)

    # Read the image (BGR in OpenCV)
    I = cv2.imread(img_path)
    if I is None:
        print("Error: Could not read the image.")
        return

    # Convert to RGB for calculations
    I_rgb = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)
    M, N, _ = I_rgb.shape
    OutputImage = None

    Ig = I_rgb.copy()
    Ig[:, :, 0] = 0
    Ig[:, :, 2] = 0
    OutputImage = Ig

def ShowBLUEplane(imgg):

    # Resolve absolute path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    img_path = os.path.join(script_dir, imgg)

    # Read the image (BGR in OpenCV)
    I = cv2.imread(img_path)
    if I is None:
        print("Error: Could not read the image.")
        return

    # Convert to RGB for calculations
    I_rgb = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)
    M, N, _ = I_rgb.shape
    OutputImage = None

    Ib = I_rgb.copy()
    Ib[:, :, 0] = 0
    Ib[:, :, 1] = 0
    OutputImage = Ib


def GrayToBW(imgg):

    # Resolve absolute path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    img_path = os.path.join(script_dir, imgg)

    # Read the image (BGR in OpenCV)
    I = cv2.imread(img_path)
    if I is None:
        print("Error: Could not read the image.")
        return

    # Convert to RGB for calculations
    I_rgb = cv2.cvtColor(I, cv2.COLOR_BGR2RGB)
    M, N, _ = I_rgb.shape
    OutputImage = None

    R = I_rgb[:, :, 0].astype(float)
    G = I_rgb[:, :, 1].astype(float)
    B = I_rgb[:, :, 2].astype(float)
    Gray = 0.298936 * R + 0.587043 * G + 0.114021 * B
    Gray = Gray.astype(np.uint8)
    BW = np.where(Gray <= 127, 0, 255).astype(np.uint8)
    OutputImage = BW

    plt.figure(figsize=(6, 6))
    plt.imshow(OutputImage)
    plt.axis('off')
    plt.show()

RGBtoGray("img_process",1)
RGBtoGray("img_process",2)
RGBtoGray("img_process",3)
ShowREDplane("img_process")
ShowBLUEplane("img_process")
ShowGREENplane("img_process")
GrayToBW("img_process")