Stripe Image Processing For 3D Model Reconstruction Of Object

Non-contact 3-Dimensiongal optical model reconstruction is an important branch of modern optics, laser technique, digital image processing technique and machine vision, which is widely applied in the fields of reverse engineering, CAD/CAM, mold design, medical treatment, measurement online, individuation manufacturing and so on. The method called face-structure grating projection became a study hot point of 3-Dimensiongal optical model reconstruction. This method can measure the surface of 3D object rapidly and nicely. Further more, it has some advantages, such as non-contract measured process, high measure speed, high resolving ability of data space, little cost and so on. One of its key techniques is the digital stripe image processing. Based on comparing and analyzing the existing techniques, this paper deeply studied the stripe pattern of projecting grating.The methods of stripe image procession and stripe order recognition in tricolor-coded stripe pattern are studied and proposed, and theoretical analysis and experimental results are given. Tricolor-coded stripe pattern has the advantages of providing information for stripe order recognition, and thereby carries the measurement system high ability of disturbance-resistance. An algorithm is proposed to automatically correct the color of any image without using any additional knowledge or any assumed ideal condition. This paper presents a stripe thinning algorithm by improving Condition Parallel Algorithm. An automatic stripe order recognition and storage method for tricolor-coded stripe projection pattern is also presented in the paper. Finally, the results of the experiments are also presented to prove the effectiveness of the above discussed methods.The methods of stripe image procession and stripe order recognition in sine gray-value distribution stripe pattern are studied and proposed. Furthermore, theoretical analysis and experimental results are given. With the stripe color ,to determine the symbol stripe can be determined and benchmark of sine gray-value distribution stripe pattern can be coded. First, using spin filtering can filter off the noise on stripe images, then using derivative-sign binary image method extract the stripe skeletons, and the bright and dark stripe are endowed with different color. So we can code all stripe with color alternate rule.On the basis of analyzed tricolor-coded stripe pattern and sine gray-value distribution stripe pattern, tricolor-coded and sine gray-value distribution stripe pattern and the methods of stripe image procession are proposed.On the end of the paper, the experimental results show that the new spin filtering provides optimal results in filtering off noise without distortion of the fringe features, regardless of fringe curvature. Experimental comparison of the methods of stripe image procession and stripe order recognition in the three stripe patterns is given. Finally, respective advantage and disadvantage and application range for the three stripe patterns are discussed.