Image Processing Techniques for Machine Vision

نویسندگان

  • Alberto Martin
  • Sabri Tosunoglu
چکیده

Image Processing Algorithms are the basis for Image Computer Analysis and Machine Vision. Employing a theoretical foundation – Image Algebra – and powerful development tools – Visual C++, Visual Fortran, Visual Basic, and Visual Java – high-level and efficient Computer Vision Techniques have been developed. This paper analyzes different Image Processing Algorithms by classifying them in logical groups. In addition, specific methods are presented illustrating the application of such techniques to the real-world images. In most cases more than one method is used. This allows a basis for comparison of different methods as advantageous features as well as negative characteristics of each technique is delineated.

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تاریخ انتشار 2000