Saturday 20th of April 2024
 

Automatic Detection and Recognize Different Shapes in an Image


Nidhal Khdhair El Abbadi and Lamis H. Al Saadi

Vision is the most advanced of our senses, so it is not surprising that images contribute important role in human perception. This is analogous to machine vision such as shape recognition application which is important field nowadays. This paper introduces a new approach for recognizing two-dimensional shapes in an image, and also recognizes the shapes type. The algorithm recognizes all the known shapes basis on segmenting images into regions corresponding to individual objects and then determine the shape factor which is use to recognize the shape type. Algorithm tested with many images with different shapes and recognizes all.

Keywords: shape; detection; recognition; image processing

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ABOUT THE AUTHORS

Nidhal Khdhair El Abbadi
Nidhal El Abbadi, received BSc in Chemical Engineering, MSc, and PhD in computer science, worked in industry and many universities, he is general secretary of colleges of computing and informatics society in Iraq, Member of Editorial board of Journal of Computing and Applications, reviewer for a number of international journals, has many published papers and three published books (Programming with Pascal, C++ from beginning to OOP, Data structures in simple language), his research interests are in image processing, biomedical, and steganography, He’s Associate Professor in Computer Science in the University of Kufa – Najaf, IRAQ.

Lamis H. Al Saadi
Lamis Al Saadi, received her BSc. in Computer science from Babylon University, Msc. in Computer science from Babylon University, currently she is PhD student in computer science department, college of science-Babylon University. Work as a lecturer in college of education- Babylon University. She has number of researches in computer science fields.


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