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FEATURE EXTRACTION USING CONTOUR PROJECTION ROBERTO J. RODRIGUES AEP/NCE Cleo de Computao Electronica UFRJ, Caixa Postal 2324, Ilia do Funds, Rio de Janeiro, RJ, Brazil EUGENIO SILVA IME Institute

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How to fill out feature extraction using contour

01

Identify the contour of the object you want to extract features from

02

Use OpenCV library to find the contours of the object

03

Iterate through each contour and extract relevant features such as area, perimeter, centroid, etc.

04

Store the extracted features in a suitable data structure for further analysis

Who needs feature extraction using contour?

01

Computer vision researchers and practitioners who want to extract useful information from images or videos

02

Machine learning engineers who need features for training models for object detection, classification, or segmentation tasks

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What is feature extraction using contour?

Feature extraction using contour is a technique used to extract important features or patterns from images or shapes based on their contours.

Who is required to file feature extraction using contour?

Researchers, engineers, or professionals working in image processing or computer vision fields may be required to file feature extraction using contour.

How to fill out feature extraction using contour?

Feature extraction using contour can be filled out by utilizing algorithms to detect and extract specific features from the contours of images or shapes.

What is the purpose of feature extraction using contour?

The purpose of feature extraction using contour is to simplify the representation of an image or shape by capturing and highlighting important features for further analysis.

What information must be reported on feature extraction using contour?

Information such as the type of features extracted, algorithm used, parameters adjusted, and the intended analysis of the extracted features must be reported on feature extraction using contour.

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