Titlebook: Smart Computer Vision; B. Vinoth Kumar,P. Sivakumar,Junhua Ding Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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CLOT

SHRIK

Shot Boundary Detection from Lecture Video Sequences Using Histogram of Oriented Gradients and Radiof Oriented Gradients (HOG) features and radiometric correlation with entropic measures are explored to detect the shot boundaries and the key frames of the lecture video sequences. In the initial stage of the algorithm, HOG feature is used to project all frames into an n-dimensional feature space.

幼稚

Detection of Road Potholes Using Computer Vision and Machine Learning Approaches to Assist the Visud work, a system is built using computer vision, machine learning, and deep learning approaches to detect potholes swiftly and precisely. The Histogram of Oriented Gradient and Local Binary Pattern feature descriptors are computed to extract useful information from the input images. Among Adaboost,

CHURL

Shape Feature Extraction Techniques for Computer Vision Applications,l images. It is primarily concerned with replicating attributes of a human vision system and empowering computer systems to process and categorize artifacts in digital images similar to humans. CV can be applied in various domains, including robotics, autonomous vehicles, remote sensing, medical dia

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Middle-Ear

Content-Based Image Retrieval Using Deep Features and Hamming Distance,features like color, shape, and texture to retrieve similar images from the database. Low-level features work well when the dataset is small; however, it fails to reduce the semantic gap when the image database becomes large and diverse. In the recent past, many researchers have exploited the usage

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Bioinspired CNN Approach for Diagnosing COVID-19 Using Images of Chest X-Ray,agnosing the virus quickly using a variety of tests, as well as low-cost advancements. Whereas a chest X-ray image is an effective screening technique, the image acquisition by the instruments must be read appropriately and quickly if multiple tests are performed..Objectives: COVID-19 causes continu

SPALL

Initial Stage Identification of COVID-19 Using Capsule Networks, As coronavirus has lot of similarities with other lung diseases, it becomes a challenging task for medical practitioners to identify the virus. A fast and robust system to identify the disease has been the need of the hour. In this chapter, we have used convolutional CapsNet for detecting COVID-19