Hi Vibhav,
I understand that you are working on an image processing project where the goal is to detect handwritten code from an image, process the image to enhance the detection, and then convert the detected text into compilable C code using MATLAB.
Assuming you have access to MATLAB's Image Processing Toolbox and possibly the Computer Vision Toolbox, which contain functions that can help you preprocess images and perform optical character recognition (OCR).
To achieve your goal, you would typically follow these steps:
- Preprocess the image to improve OCR results. This might include filtering to remove noise, binarization to make the text stand out, and morphological operations to clean up the image. MATLAB functions like "imfilter", "imbinarize", and "bwmorph" can be useful here.
- Use MATLAB's "ocr" function to perform optical character recognition on the processed image. The "ocr" function can return the detected text along with confidence levels and bounding box coordinates.
- Process the text to correct any OCR errors and format it into valid C code. This step might involve string operations and pattern matching, which can be done using MATLAB's string handling functions.
- Write the processed text to a ".c" file using MATLAB's file I/O functions such as "fopen", "fprintf", and "fclose".
Here's a simple example of how you might implement the first two steps:
% Read the image
% Preprocess the image
filteredImage = imfilter(inputImage, fspecial('gaussian'));
bwImage = imbinarize(filteredImage);
cleanImage = bwmorph(bwImage, 'clean');
% Perform OCR on the preprocessed image
textResults = ocr(cleanImage);
detectedText = textResults.Text;
% Display the detected text
disp(detectedText);
After obtaining "detectedText", you would need to implement additional logic to correct errors and format the text as compilable C code.
To perform OCR, refer the documentation of the "ocr" function.
Hope this helps!
