This will also give us all other details like file size, format, width, height, etc.Īs we can see in the output, the file is saved as expected by us. In this step, we will insert the new image into disk file.įinally, we will confirm if our image is saved in the disk file or not using the ‘iminfo’ function. This will confirm that contrast or pixel intensities of the new image created are now distributed in a better wayĪs we can see in the histogram above, the pixel intensities of the new image created are now distributed in a better way. In this step, let us call ‘imhist’ function again with ‘newImage’ as the input. This is done because we found in the above step, that our image has very narrow pixel intensity.Īs we can see in the output, the contrast of our image has changed drastically. In this step, we will edit the contrast of our image. We will be using the figure function to display the intensity in the form of a histogram.Īs we can see in the output, the range of pixel intensity for our image is very narrow, i.e the values are concentrated in a small range at the beginning. In this step we will check the intensity of pixels in our image.
#Matlab functions full#
We will also use a color bar to check the intensity of the colors.Īs we can see in the output, the image is displayed and has a full range of colors in the colormap and we also have a color bar next to it. In this step we will display our image with the colors from the colormap. In this step we will display our image in the workspace.Īs we can see in the output, the image is loaded in our workspace. In the first step, we Load or Read the image into our workspace. We will use an image that is stored in MATLAB’s image processing app and will execute all the above functions in steps for that image. Let us now understand the use of all the above functions in MATLAB.
imwrite(): This function is used to insert our edited image into a file.histeq(): Using this function we can edit the contrast of our image.imhist(): Using This function we can check how the pixel intensity of the image is distributed.A color scale can also be used after calling this function to get a better idea of the colors present imagesc(): This function is used to display the image by utilizing the full set of colors present in the colormap.imshow(): This function is used to display the image that we have loaded.imread(): This function is used to read or load the image which we want to process.Hadoop, Data Science, Statistics & others
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