Image-to-MIDI mapping based on dynamic fuzzy color segmentation for visually impaired people

Chieh Li Chen, Yan Fa Liao, Chung Li Tai

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

In this paper, the RGB ratio is defined according to a reference color so that an image can be transformed from a conventional color space to the RGB ratio space. Different to traditional distance measurement, a road color model is determined by an ellipse area in the RGB ratio space enclosed by the estimated boundaries. The proposed dynamic fuzzy logic, where fuzzy membership functions are defined according to estimated boundaries, is introduced to implement clustering rules, such that each pixel will have its own fuzzy membership function corresponding to its intensity. A basic neural network is trained and used to achieve parameter optimization. Experimental results for road detection demonstrate the robustness of the proposed approach to variations in intensity. To provide obstacle information, especially for visually impaired people, Musical Instrument Digital Interface (MIDI) is introduced as the sound generator, and image-to-MIDI mapping algorithm is proposed. Experimental results show that the proposed method can adapt to various road types, and the resulting audio information successfully indicates the position and size of obstacles.

原文English
頁(從 - 到)549-560
頁數12
期刊Pattern Recognition Letters
32
發行號4
DOIs
出版狀態Published - 2011 三月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電腦視覺和模式識別
  • 人工智慧

指紋

深入研究「Image-to-MIDI mapping based on dynamic fuzzy color segmentation for visually impaired people」主題。共同形成了獨特的指紋。

引用此