A compact optical correlator that can retrieve shape, color, and texture information was improved and optimized for
medical applications. Some optical components of the optical correlator were changed to eliminate stray light. Tumor
and normal cell images from rats can be clearly distinguished by using their color and luminance information. Here, the
color and luminance data from the cell images were converted into two-dimensional patterns on the x-y chromaticity
diagram and the luminance histogram, respectively. The tumor cell images were clearly distinguished from large
numbers of cells by retrieving the color and luminance patterns. Based on these results, we have demonstrated that our
optical correlator is an effective tool for retrieval of complicated large volume information, such as that of cell images.
A compact optical correlator applicable to the retrieval of colour and texture as well as shape information was developed.
A new technique for retrieving colour and texture information by using a slot-in-type compact joint-transform correlator
(JTC) with minimum size (140 (W) × 220 (L) × 40 mm (H)) was developed. The developed techniques were used to
retrieve images of fruits and vegetables, taken by the digital camera. The developed technique can retrieve images of
certain fruits, such as an apple, from images of many different fruits and vegetables. It will open up a new area of
retrieval techniques for ambiguous images based on shape, colour and texture information.
We present a new slot-in type of optical correlator that is more compact than the previous types. The correlator can fit
inside the cabinet of commercial personal computers and is fully controllable with windows-based software. The
correlator is a Joint Transform type (JTC) and its optical system fits inside a metal box measuring 140 mm (W) x 220
mm (L) x 40 mm (H). The optical source is a 650-nm-band laser diode of the kind used in DVD systems. A spatial light
modulator and a CMOS camera are installed in the metal box with the passive optical components required for the JTC.
The collimated light from the laser diode is illuminated on the spatial light modulator displaying reference and data to be
examined. The light reflected from the modulator is Fourier-transformed by a lens on the plane of the CMOS camera.
The computer reads the power spectrum recorded by the camera and modulates the spatial light modulator. This process
is repeated. We found that these JTC processes could be performed with the prototype developed in this study.
We propose a new technique for retrieving color information. The color data taken by a digital camera is transferred to
two-dimensional data on the color chart and displayed on a spatial light modulator. This modulation technique is
combined with a retrieval technique using a joint transform correlator. The color data, e.g., photograph of a flower, are
retrieved by this system, and the same color data (photograph) can be perfectly selected from the many reference data.
This technique will open a new area of retrieval techniques for ambiguous images based on shape and color information.