Computer Vision
Delve into Computer Vision fundamentals, mastering Convolutional and Recurrent Neural Networks, while gaining insights into diverse applications and digital ima...
Delve into Computer Vision fundamentals, mastering Convolutional and Recurrent Neural Networks, while gaining insights into diverse applications and digital ima...
Welcome to our online course on Computer Vision, a fascinating subcategory of artificial intelligence (AI) that delves into the realm of visual data processing, analysis, and interpretation. In this course, you will embark on a journey to understand how digital systems can be designed and utilized to enable computing devices to accurately identify objects and individuals within digital images, facilitating appropriate and informed actions.
The core of computer vision lies in the utilization of Convolutional Neural Networks (CNNs) for processing visual data at the pixel level, and Deep Learning Recurrent Neural Networks (RNNs) to discern the intricate relationships between pixels. Through these advanced technologies, we aim to empower you with the knowledge and skills to navigate the complexities of computer vision.
The course is tailored for learners seeking a refresher on the fundamental concepts of computer vision and those desiring a brief introduction to its capabilities. By the end of this program, you will not only comprehend the essence of computer vision but also master its essentials. This knowledge will equip you to identify crucial computer vision application fields and understand the intricate workflows of digital imaging.
Embark on this transformative journey through the world of computer vision. Join us and unlock the potential to see and understand the digital world through the lens of artificial intelligence.
Session 1 : Introduction to Computer Vision
0:08:24Session 2 : Image Formation
0:11:42Session 3 : Image Representation - Theory+Hands on Session ( Flipping image, Contrast reduction)
0:07:39Session 4 : Installation of Anaconda and OpenCV - Hands on Session
0:03:56Session 5: Image Processing with OpenCV and Python - Hands on Session
0:11:26Session 1: Image Enhancement - Hands on session (Removing Noise)
0:13:09Session 2: Image Transformation-I
0:09:06Session 3: Image Transformation-I - Hands on session ( Linear, log and Power law transformation)
0:05:24Session 4 : Morphological Operations - Theory +Hands on session ( opening, closing, erosion, dialtion)
0:04:17Session 5: Histogram Equalization - theory+Hands on session ( Histogram equalization)
0:06:31Session 1: Edge Detection 1
0:10:02Session 2: Edge Detection 2 - Canny Edge Detection - Hands on session
0:02:28Session 3: Corner Detection 1
0:04:15Session 4: Corner Detection 2 - Theory +Hands on session
0:05:29Session 5: Hough Transform - Line
0:07:00Session 6: Hough Transform - Hands on session
0:02:21Session 1: Image Classification I - Naive Bayes - Theory+Hands on session
0:12:42Session 2: Image Classification II - KNN with Handson material
0:05:07Session 3: Dimensionality Reduction with PCA -Reading Material
0:05:31Session 4: Object Detection - Theory + Hands on session
0:07:51Session 5: Object Tracking - Theory + Hands on session
0:05:22Basic understanding of Python
Basic understanding of AI
A laptop/computer with active internet connection
Image formation
Anaconda and Open CV
Image processing with Open CV and Python
Image transformation and Morphological operations
Edge and Corner detection
High Transformation
Image segmentation and image clustering
Object detection, tracking, and image classification
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2463 Students
1 Course
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Dr. AVR Mayuri is currently working as Senior Assistant Professor (Grade 2) in School of Computing Science Engineering in VIT Bhopal University. She has obtained her doctorate degree from Mewar University, Chittorgarh in the year 2016. She has done her Masters in Computer Science and Engineering from JNTU Hyderabad and Bachelor's degree in Computer Science and Engineering from Madurai Kamaraj Univerisity in the year 2010 and 2002 respectively. In the year 2018, she has successfully completed and certified for “IUCEE International Engineering Educator Certification Program” which is focusing on improving Engineering Education. She has served in different reputed academic institutes for more than 20 years. She has nearly 12 years of research experience. She has 3 Patents and 23 Publications in Journals (indexing with SCI, WoS, Scopus) and various Int./National, IEEE Conferences. Apart from academics, she also headed various administrative positions like Head of the Department, NBA coordinator, Research Coordinator and various institute level committees. Her area of research interests includes Artificial intelligence, Machine Learning, Data Analytics, Data Mining, Computer Networks and IoT.
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English
Certificate Course
2463 Students
02h 55m
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