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Matlab Working With Images
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Matlab Working With Images

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Matlab Working With Images

Matlab Working With Images

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Matlab Working With Images Matlab Working With Images Presentation Transcript

  • Matlab:Working with images
  • Types of images
    Binary image
    Grayscale images
    Indexed image
    RGB image
  • Binary Images
    Binary images are made of only two colors: Black and White
  • Grayscale Images
    A grayscale image is a data matrix whose values represent intensities within some range.
  • Indexed Images
    In an Indexed Image, the color of each image pixel is determined by using the corresponding value of X as an index into map.
  • RGB Images
    An RGB image is stored as an m*n*3 data array that defines red, green, and blue color components for each individual pixel.
  • Converting
    Matalb 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.
  • Converting
    Matalb 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.
  • Converting
    Matalb 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.
  • Viewing
    The following set of commands will read an image and display it:
    • IMAGE=imread(‘image1.jpg’);
    • imshow(IMAGE);
  • Pixel-values
    The 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’);
    • imshow(IMAGE);
    • impixelinfo;
  • Measuring the Distance Between Two Pixels
    The 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’);
    • imtool(IMAGE);
  • Cropping an image
    An image can be cropped by opening the image in ‘imtool’ and using the ‘crop’ tool:
    • IMAGE=imread(‘image1.jpg’);
    • imtool(IMAGE);
  • Cropping an image
    An image can be cropped by opening the image in ‘imtool’ and using the ‘crop’ tool:
    • IMAGE=imread(‘image1.jpg’);
    • imtool(IMAGE);
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    The tutorials section is free, self-guiding and will not involve any additional support.
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