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Hi there 👋

I am an aspiring Computer vision engineer.

  • 🔭 Working on multiple projects related to computer vision.
  • Expertise in Python, Machine learning, Computer vision, Matlab.
  • 🌱 Hobbies: Reading books, Music (Guitar), Crochet!

Connect with me

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JAISIL ROSE DENNISON's Projects

analyzing_optical_system_by_using_4f_system icon analyzing_optical_system_by_using_4f_system

Performed edge detection using optical system with same signal flow as edge detection image processing algorithm. The different here is we used 4F system and modified it to get better result.

block_matching_for_stereo_images icon block_matching_for_stereo_images

Using a block-matching algorithm based on sum of differences, the corresponding points between two images are found and arrow are used for highlighting. The algorithms works perfectly for most of the cases.

c-first-code icon c-first-code

Just refreshing c++ and learning it for image processing application

cnn icon cnn

All codes related to CNNs

comparitive_study_of_deep_learning_techniques_for_covid_detection_from_the_ct_chest_images icon comparitive_study_of_deep_learning_techniques_for_covid_detection_from_the_ct_chest_images

The goal is to compare the performance of the deep learning techniques for detecting Covid from CT Chest Images. The algorithms are tested with the novelty of adding medican filtering and appropriate data augmentation techniques. The models used are pretrained deep neural network like Densenet, Resnet and Vgg nets. The challenge here is to address the issue less number of medical data for the data hungry deep learing techniques.

first_flask_app icon first_flask_app

Just created an app using flask. Looking forward to create computer vision apps!

medical_imaging icon medical_imaging

Has a class project for segmentation of lung based on internsity thresholing and then labelling.

opencv icon opencv

Open Source Computer Vision Library

point_cloud_segmentaion icon point_cloud_segmentaion

The objective of this project is to segment point clouds based on different methods such as euclidean distance, plant fit and knn.

video_tracking-based-on-correlation icon video_tracking-based-on-correlation

Developed a matched filter-based tracking algorithm to estimate the location of the target (Bouncing ball) in the data stream and also superimposing a bounding box. The algorithm yielded an accuracy of about 90%.

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