An image is defined as two-dimensional function,
f(x, y), where x and y are spatial (plane) coordinates, and the amplitude of f at any pair of
coordinates(x, y) is called the Intensity or the Gray level of the image at that point. When x, y and the intensity values of f are all finite, discrete quantities, the image is digital image.
Digital image is composed of a finite number of elements, each of which has a particular location and value. These elements are called picture elements, image elements and pixels. Pixel is the smallest element of an image. Each pixel corresponds to any one value. For an 8-bit gray scale image, the value of the pixel is between 0-255.
Image Rotation –
The rows are rotated from end to -1 keeping the step size 1. To rotate the image clockwise, the columns are rotated from end to -1 keeping the step size 1.
- Read the image using imread function.
- Show the image using imshow function.
- Rotate the image.
- Display the image using imshow.
Below is the implementation:
Original Image –
Rotated Image –
- Matlab | Edge Detection of an image without using in-built function
- MATLAB | Converting a Grayscale Image to Binary Image using Thresholding
- MATLAB | RGB image to grayscale image conversion
- MATLAB | RGB image representation
- Negative of an image in MATLAB
- Matlab | Erosion of an Image
- Image Resizing in Matlab
- Image Complement in Matlab
- Matlab | Dilation of an Image
- Create Mirror Image using MATLAB
- LSB based Image steganography using MATLAB
- How to vertically flip an Image using MATLAB
- MATLAB | Complement colors in RGB Image
- Extract bit planes from an Image in Matlab
- MATLAB | Display histogram of a grayscale Image
- Flip image across Secondary Diagonal in MATLAB
- Image Processing in MATLAB | Fundamental Operations
- MATLAB | Complement colors in a Binary image
- MATLAB | Complement colors in a Grayscale Image
- MATLAB - Butterworth Lowpass Filter in Image Processing
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Improved By : Akanksha_Rai