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Image processing is a captivating field that merges computer science with visual perception, enabling computers to interpret and manipulate visual information. MATLAB, a powerful computing environment, serves as a go-to tool for many students tackling image processing assignments. In this blog, we'll delve into a challenging assignment question, offering step-by-step guidance and demystifying the process. Whether you're a student navigating through the intricacies of image processing or an enthusiast eager to expand your MATLAB skills, this guide is tailored for you.
Assignment Question:
Enhance the Contrast of an Image using Histogram Equalization in MATLAB.
This task might seem daunting at first, but fear not! We'll break down the process into manageable steps.
Step 1: Load the Image
Begin by loading your image into MATLAB using the 'imread' function. Ensure that the image is stored in the current working directory or provide the full path.
image = imread('your_image.jpg');
Step 2: Convert to GrayscaleHistogram equalization is most effective on grayscale images. Convert your image using the 'rgb2gray' function.
gray_image = rgb2gray(image);
Step 3: Compute the HistogramCalculate the histogram of the grayscale image using the 'imhist' function.
histogram = imhist(gray_image);
Step 4: Compute Cumulative Distribution Function (CDF)Compute the cumulative distribution function using the 'cumsum' function.
cdf = cumsum(histogram) / sum(histogram);
Step 5: Perform Histogram EqualizationMap the intensity values of the original image to their corresponding values in the equalized image.
equalized_image = uint8(cdf(gray_image) * 255);
Step 6: Display ResultsVisualize the original and equalized images using the 'imshow' function.
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Conclusion:Mastering image processing with MATLAB can be a rewarding journey. By breaking down complex tasks into manageable steps, this guide aims to empower students to confidently tackle their assignments. Remember, understanding the fundamentals is key, and our platform is here to provide the support you need.