In this article we will see how we can covert rgb image to gray in mahotas. An RGB image, sometimes referred to as a truecolor image, is stored in MATLAB as an m-by-n-by-3 data array that defines red, green, and blue color components for each individual pixel.
In this tutorial we will use “lena” image, below is the command to load it.
Below is the lena image
In order to do this we will use
Syntax : mahotas.colors.rgb2gray(img)
Argument :It takes image object as argument
Return : It returns image object
Note : It can convert image to greyscale as using rgb2grey or rgb2gray, both work). This conversion uses a visually realistic method (which weighs the green channel more heavily as human eyes are more sensitive to it)
Below is the implementation
- Mahotas - RGB to Sepia Conversion
- Mahotas - RGB to XYZ Conversion
- Mahotas - XYZ to RGB Conversion
- Mahotas - RGB to LAB Conversion
- Mahotas – Creating RGB Image
- Mahotas - Image Stretch RGB
- Mahotas - XYZ to LAB Conversion
- Detect the RGB color from a webcam using Python - OpenCV
- Matplotlib.pyplot.gray() in Python
- Mahotas - Re-Labeling
- Mahotas - Labelled Image from the Normal Image
- Mahotas - Getting Mean Value of Image
- Mahotas - Element Structure for Eroding Image
- Mahotas - Dilating Image
- Mahotas - Eroding Image
- Mahotas - Opening Process on Image
- Mahotas - Element Structure for Dilating Image
- Labeled Image Function in Python Mahotas
- Where's Wally Problem using Mahotas
- Python Mahotas - Introduction
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