English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Received: 5 June 2019 Accepted: 18 August 2019 The aim of this study is realization of SURF algorithm based on Vivado-HLS tool for FPGA platform. The SURF algorithm is a method which is used in image processing that is not affected by feature changes such as size, color and contrast. Genetic algorithm is used to determine the optimum values of the parameters affecting the success of the SURF algorithm in this work. It has been observed that when the parameter values determined using the optimization algorithm is used, the success rate significantly increases. The proposed method has been tested for character recognition application with fixed font which is independent from rotation and character size. In this work, the tests were carried out with images formed from numbers. Reference and test pictures for each number were created. The test images consist of images of different sizes and rotations. Optimal parameter values were used in HLS after being determined by proposed approach. Using the proposed optimized SURF structure, high success rates were obtained.

GA-Based Optimization of SURF Algorithm and Realization Based on Vivado-HLS