We set up a system to build a good image from two-camera model. Our system is imitated a human visual system with two cameras referring to two eyes; each eye captures its own view and two separate images are sent to brain for processing to unit into one image. Similarly, in our system, we present a process to find out the relationship of two images captured from two cameras, and then these images are synthesized to build a good image. This image can be applied in other processes such as object recognition, detection or tracking And our system can be used as robot vision. | Science & Technology Development, Vol 11, - 2008 BUILDING A GOOD IMAGE FROM TWO COLOR IMAGES OF CAMERA MODEL USING GA AND DISCRETE WAVELET TRANSFORM Pham The Bao, Pham Thanh Trung University of Natural Sciences, VNU-HCM (Manuscript Received on November 18 th, 2007, Manuscript Revised December2 nd, 2007) ABSTRACT: We set up a system to build a good image from two-camera model. Our system is imitated a human visual system with two cameras referring to two eyes; each eye captures its own view and two separate images are sent to brain for processing to unit into one image. Similarly, in our system, we present a process to find out the relationship of two images captured from two cameras, and then these images are synthesized to build a good image. This image can be applied in other processes such as object recognition, detection or tracking And our system can be used as robot vision. Keywords: 2-cameras model, GA, discrete wavelet transform, robot, fusion. The human visual system includes two eyes having the same structure and the same function, but there is small difference of two captured images due to the different positions. Human brain takes advantage of the small differences for processing to build a single image that contains better information; that is human vision. Each eye is referred to a camera being able to capture its view and form an image. In the real world, since the camera is affected by external factors, for example: illuminations, environment , the taken image is not good quality. Therefore, if there are two cameras co-operated a system like human eyes, we could have a better image from this system. The problem is to find out the relationship of two images based on the relationship of two cameras, then synthesizes these images to form final image having better quality. Two-camera model is also called stereo vision has a classical problem, or correspondence problem; the objective is to determine pairs of points that .
