The document discusses different types of images in Matlab including binary, grayscale, indexed, and RGB images. It also summarizes commands to convert between image types such as converting grayscale to indexed or truecolor to binary. Finally, it provides examples of how to view images, measure pixel values and distances, and crop images using the imtool command.

1. Matlab:Working with images

2. Types of imagesBinary imageGrayscale imagesIndexed imageRGB image

3. Binary ImagesBinary images are made of only two colors: Black and White

4. Grayscale ImagesA grayscale image is a data matrix whose values represent intensities within some range.

5. Indexed ImagesIn an Indexed Image, the color of each image pixel is determined by using the corresponding value of X as an index into map.

6. RGB ImagesAn RGB image is stored as an m*n*3 data array that defines red, green, and blue color components for each individual pixel.

7. ConvertingMatalb offers many useful commands to convert images form one form to another:Demosaic Convert Bayer pattern encoded image to truecolor (RGB) image. Dither Use dithering to convert a grayscale image to a binary image or to convert a truecolor image to an indexed image.Gray2ind Convert a grayscale image to an indexed image.Grayslice Convert a grayscale image to an indexed image by using multilevel thresholding.

8. ConvertingMatalb offers many useful commands to convert images form one form to another:Im2bw Convert a grayscale image, indexed image, or truecolor image, to a binary image, based on a luminance threshold.Ind2gray Convert an indexed image to a grayscale image.Ind2rgb Convert an indexed image to a truecolor image.

9. ConvertingMatalb offers many useful commands to convert images form one form to another:Mat2gray Convert a data matrix to a grayscale image, by scaling the data.Rgb2gray Convert a truecolor image to a grayscale image. Rgb2ind Convert a truecolor image to an indexed image.

10. ViewingThe following set of commands will read an image and display it:IMAGE=imread(‘image1.jpg’);

11. imshow(IMAGE);Pixel-valuesThe following set of commands will read an image, display it and give the information of the pixel at the tool-tip:IMAGE=imread(‘image1.jpg’);

12. imshow(IMAGE);

13. impixelinfo;Measuring the Distance Between Two PixelsThe distance between any two pixels of an image can be calculated by opening the image in ‘imtool’ and using the ‘ruler’ tool:IMAGE=imread(‘image1.jpg’);

14. imtool(IMAGE);Cropping an imageAn image can be cropped by opening the image in ‘imtool’ and using the ‘crop’ tool:IMAGE=imread(‘image1.jpg’);

15. imtool(IMAGE);Cropping an imageAn image can be cropped by opening the image in ‘imtool’ and using the ‘crop’ tool:IMAGE=imread(‘image1.jpg’);