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This project implements the following paper T. H. Dinh, M. D. Phung and Q. P. Ha, "Summit Navigator: A Novel Approach for Local Maxima Extraction," in IEEE Transactions on Image Processing, vol. 29, pp. 551-564, 2020, doi: 10.1109/TIP.2019.2932501.

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tensionTaker/SummitNavigator_Implementation

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Note: In the Video function with the name PeakDetection() name was later changed to PeakSearching() Group 5 Group Memebers Harsh Gupta 12140750 Dhruv Gupta 12140580 Rounak R. Kamble 12141410

Project has to be run MATLAB

Project Assistance Readme

Setup

  1. Ensure that all project files are located in the same folder.

Running the Berkeley Dataset

Steps:

  1. Open the "main.m" file.
  2. Update the image name, its corresponding R_k square value, and the ground truth threshold based on the provided input table.
  3. Click on "Run" to compile and execute the code.
  4. The result will be a thresholded image using Summit Navigator.
  5. Examine the detailed results checkout the matlab command window, including final peaks of image, F-measure, precision (p), and recall (r) values.
  6. To view an image histogram, you can comment out the two lines (7 and 8).

Running Synthetic Data

  1. Open the "mainSyntheticData.m" file.
  2. Click on "Run file"; there's no need to modify any attributes for this specific process.
  3. The result will be a thresholded image using Summit Navigator.
  4. To view an image histogram, you can comment out the two lines (7 and 8).

Contact

Feel free to reach out if you have any questions or need further assistance. Dhruv: 9569073087 Harsh: 6386564506

About

This project implements the following paper T. H. Dinh, M. D. Phung and Q. P. Ha, "Summit Navigator: A Novel Approach for Local Maxima Extraction," in IEEE Transactions on Image Processing, vol. 29, pp. 551-564, 2020, doi: 10.1109/TIP.2019.2932501.

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