Convolutional auto-encoder to extract local features of 2D images

Vitaly Kober; Sergei Voronin; Artyom Makovetskii; Dmitrii Zhernov; Aleksei Voronin

doi:10.1117/12.2677848

4 October 2023 Convolutional auto-encoder to extract local features of 2D images

Vitaly Kober, Sergei Voronin, Artyom Makovetskii, Dmitrii Zhernov, Aleksei Voronin

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 126741J (2023) https://doi.org/10.1117/12.2677848
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Conference Poster

Abstract

The important task of 2D image classification and segmentation is the extraction of the local geometrical features. The convolution neural network is the common approach last years in this field. Usually, the neighborhood of each pixel of the image is implemented to collect local geometrical information. The information for each pixel is stored in a matrix. Then, Convolutional Auto-Encoder (CAE) is utilized to extract the main geometrical features. In this paper, we propose a neural network based on CAE to solve the extraction of local geometrical features problem for noisy images. Computer simulation results are provided to illustrate the performance of the proposed method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Vitaly Kober, Sergei Voronin, Artyom Makovetskii, Dmitrii Zhernov, and Aleksei Voronin "Convolutional auto-encoder to extract local features of 2D images", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126741J (4 October 2023); https://doi.org/10.1117/12.2677848

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available