The above function will be called from MATLAB command window % calculating grayscale values by forming a weighted sum of the R, G, and B components % creating a new 2-d matrix 'gray_img' of size M*N of 'uint8' data type with all % as size(img) function will return row, column and dimension of the RGB image % ~ is used to ignore dimension of RGB image % Getting number of rows in M and number of column in N of RGB image matrix % Extract Red colour component to R, Green colour component to G % Function will take a colour image as input and will return a grayscale imageįunction = colouredToGray(img) ITU-R BT.601-7 (Recommendation by radio-communication sector of ITU for Broadcasting service (Television)) Note: The coefficients that is used to calculate grayscale values are identical to those that is used to calculate luminance (E’y) in Rec. Convert each RGB pixel values at location (i, j) to grayscale values by forming a weighted sum of the Red, Green, and Blue colour components and assign it to corresponding location (i, j) in new matrix.Create a new matrix with the same number of rows and columns as RGB image, containing all zeros.Extract Red, blue and green colour components from RGB image into 3 different 2-D matrices.Read RGB colour image into MATLAB environment.Our key idea is to convert an RGB image pixel which a triplet value corresponding to red, blue and green colour component of an image at a specified spatial location to a single value by calculating a weighted sum of all three colour component. Here we will convert an RGB image to grayscale image without using rgb2gray() function. In MATLAB, there is a function called rgb2gray() is available to convert RGB image to grayscale image.
In MATLAB, a grayscale image is basically M*N array whose values have been scaled to represent intensities. Similarly, A Grayscale image can be viewed as a single layered image. Linear Regression (Python Implementation).Removing stop words with NLTK in Python.Top 40 Python Interview Questions & Answers.Perspective Transformation – Python OpenCV.Reading an image in OpenCV using Python.Face Detection using Python and OpenCV with webcam.