Hardware implementation of geometric moment functions in a CMOS retina

Olivier Aubreton; Lew F. C. Lew Yan Voon; Bernard Lamalle; Tadeusz Sliwa; Michael Roy; Guy Cathebras

doi:10.1117/12.571370

25 October 2004 Hardware implementation of geometric moment functions in a CMOS retina

Olivier Aubreton, Lew F. C. Lew Yan Voon, Bernard Lamalle, Tadeusz Sliwa, Michael Roy, Guy Cathebras

Proceedings Volume 5603, Machine Vision and its Optomechatronic Applications; (2004) https://doi.org/10.1117/12.571370
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

We present in this paper a new method for implementing geometric moment functions in a CMOS retina. It is based on the computation of the correlation value between the image under analysis and a second image since there is a similarity between the expression of the moment of an image and that of the correlation of two images. The second image which is stored in memory devices in the circuit is approximated by a binary image using a dithering algorithm in order to reduce hardware implementation cost. As a result the value of the moment is also an approximate one. Computer simulations using the COIL 100 Columbia image database on 128x128 pixel images show that the maximal relative error between the approximate and the exact value is less than 1% for moments of order less than 2, and less than 5% for moments of order less than 6. Finally, we have considered an object localization application and quantified the error in the localization due to the use of the approximate moment values instead of the exact values.

Citation Download Citation

Olivier Aubreton, Lew F. C. Lew Yan Voon, Bernard Lamalle, Tadeusz Sliwa, Michael Roy, and Guy Cathebras "Hardware implementation of geometric moment functions in a CMOS retina", Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); https://doi.org/10.1117/12.571370

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KEYWORDS

Retina

Binary data

Image analysis

Photomasks

Optical correlators

Sensors

Databases

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