Merge pull request #319 from mehul-m-prajapati/image_stitch

Added image stitching project (opencv)

Computer Vision/Image Stitching/README.md

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+# Image Stitching with OpenCV
+
+This project demonstrates image stitching using OpenCV, which combines multiple images into a single panoramic image. The code loads a set of images, performs feature detection and matching, and stitches them together to create a seamless panorama.
+
+## Code Breakdown:
+
+1. **Library Installation**:
+   - Installs necessary libraries: OpenCV and Matplotlib.
+
+2. **Function: `stitch_images`**:
+   - **Loading Images**: Reads images from the specified file paths.
+   - **Stitcher Object**: Creates an OpenCV Stitcher object to handle the stitching process.
+   - **Performing Stitching**: Uses `stitcher.stitch()` to combine images.
+   - **Error Handling**: Checks the status of the stitching process and returns the stitched image or an error message.
+
+3. **Function: `display_result`**:
+   - Displays the stitched image using Matplotlib.
+
+4. **Example Usage**:
+   - Upload to images you want to stitch.
+   - Calls `stitch_images()` to perform the stitching and then displays the result.
+
+## Possible Enhancements:
+- **Input Flexibility**: Allow for dynamic input of image paths through user interface or file upload.
+- **Image Preprocessing**: Apply image enhancement techniques before stitching for better results.
+- **Advanced Matching**: Implement feature matching techniques (like SIFT or ORB) for improved alignment of images.
+
+## Example Use Case:
+This image stitching method is useful for creating panoramic images from a series of overlapping photographs, often used in photography, mapping, and virtual reality applications.
+
+## Requirements:
+- OpenCV
+- Matplotlib
+
+### How to Run:
+1. Install the required libraries.
+2. Update the `image_paths` list with paths to your images.
+3. Run the cell to perform stitching and view the result.