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  4. Vol 9, Issue 3, 2025

Two Filters Based on Simple Functions for Extracting Profiles from Images

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DOI: 10.23977/acss.2025.090301 | Downloads: 21 | Views: 298

Author(s)

Junshu Wu 1, Ye Wu 2

Affiliation(s)

1 Shenzhen Foreign Languages School, Longhua, Shenzhen, 518131, China
2 School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, 210046, China

Corresponding Author

Ye Wu

ABSTRACT

Graphic contour extraction is a significant issue in pattern recognition and vision processing. However, classical filters such as Sobel filters are difficult to extract the complete shapes in terms of contour extraction. In this work, we designed two filters via logarithmic, sine, exponential, and cosine functions. These filters can extract the outline of the image completely. Moreover, a low-light image acquired from a fluorescence microscope was used for contour extraction. These filters could be used for extracting some of the edge contours for images with weak fluorescence and underwater images, where colouring impact was applied to the outputting images for generating coloured images. Meanwhile, the successful extraction of crystal contours under the fluorescence microscope via these filters proved their feasibility for microscopic image processing.

KEYWORDS

Low-Light Images, Gabor Filter, Graphical Contour Extraction, Fluorescence Microscope, Fluorescence Imaging

CITE THIS PAPER

Junshu Wu, Ye Wu, Two Filters Based on Simple Functions for Extracting Profiles from Images. Advances in Computer, Signals and Systems (2025) Vol. 9: 1-6. DOI: http://dx.doi.org/10.23977/acss.2025.090301.

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