Chúng tôi thiết lập một hệ thống để xây dựng một hình ảnh tốt từ mô hình hai camera. Hệ thống của chúng tôi là bắt chước một hệ thống thị giác của con người với hai máy ảnh đề cập đến hai mắt, mỗi mắt chụp xem riêng của mình và hai hình ảnh riêng biệt được gửi đến não để xử lý cho đơn vị vào một hình ảnh. Tương tự như vậy, trong hệ thống của chúng tôi, chúng tôi trình bày một quá trình để tìm ra các mối quan hệ của hai hình ảnh được. | 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 18th 2007 Manuscript Revised December2nd 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 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 correspondence to the same scene point 1 . There
