Matlab code for ultrasound image enhancement.

 Matlab code for ultrasound image enhancement.

Ultrasound image enhancement is a common technique used to improve the quality of ultrasound images by enhancing the contrast, sharpness, and reducing noise. Here is an example of how to enhance an ultrasound image using the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique in MATLAB:

% Load ultrasound image img = imread('ultrasound_image.png'); % Display original image subplot(1, 2, 1); imshow(img); title('Original Image'); % Apply CLAHE img_clahe = adapthisteq(img, 'NumTiles', [8, 8], 'ClipLimit', 0.02); % Display enhanced image subplot(1, 2, 2); imshow(img_clahe); title('Enhanced Image');

In the code above, we first load the ultrasound image using the imread function. We then display the original image using the imshow function.

Next, we apply the CLAHE technique to the image using the adapthisteq function. The NumTiles parameter specifies the size of the tiles used for contrast enhancement, and the ClipLimit parameter specifies the maximum amount of contrast enhancement that can be applied. These parameters can be adjusted to fine-tune the enhancement.

Finally, we display the enhanced image using the imshow function.

Note that this is just one example of how to enhance an ultrasound image in MATLAB, and other techniques can be used depending on the specific requirements of the application.