Details

Autor(en) / Beteiligte

• Tuktasinov, Mumtozali
• Zaynidinov, Hakimjon
• Singh, Dhananjay
• Tiwary, Uma Shanker
• Singh, Madhusudan

Titel

Algorithms for Selecting and Comparing Features of Digital Image Vectors Based on the Analysis of Local Extrema

Ist Teil von

• Intelligent Human Computer Interaction, 2023, Vol.13741, p.540-546

Ort / Verlag

Switzerland: Springer International Publishing AG

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The article proposes new algorithms for extracting recognizable features of one-dimensional vectors obtained from digital images and comparing them. Vectors store one byte, i.e. values in the range 0 ÷ 255 taken from a grayscale image. The features of hills located in the intervals of the local minima of the vector were taken as identification features. In particular, the area of the selected hill, its width, the coordinate of the local maximum located on this hill, etc. are taken.