To address the problem of how to produce variform individual texture images of tree from the same tree species through the method of “bulletin board” mapping in scene modeling

a method to generate tree texture images through the use of a random transmogrification mesh is proposed. The original mesh is utilized to divide tree texture images. Then

random transmogrification of the mesh vertexes is conducted. Lastly

the generated irregular mesh images are mapped on a corresponding regular mesh in the new images; texture images are obtained after transmogrification. The effects of mesh division quantity

transformative coefficient of the mesh

and quantity of mapping nodes on the transformative results are simulated. By selecting the mesh division number

transformative coefficient of the mesh

and quantity of mapping nodes appropriately

the original texture images of trees after transmogrification can be converted into multiple ones that have similar basic forms but different details. Experimental results indicate clearly that the problem of texture image generation of different individual tree from the same species can be solved by the proposed method. The proposed method involves a stochastic parameter to control the local transmogrification extent of tree images; the environmental impact on the individual form exerted by various random factors in their growing environment is reflected. The method is much easier and more convenient than individual tree image mapping. Additionally

the visual effects produced by this method are more real than those produced by mapping multiple individuals in the same image. A new method to generate tree texture images through the use of a random transmogrification mesh is proposed. The transmogrification extent of tree images is controlled by a stochastic parameter; the effects on the individual forms exerted by various random factors in their own growing environment are simulated. Images of individuals with various shapes in the same species can be obtained by selecting the appropriate transformative parameters. Experimental results show that when the tree texture image produced by the proposed method is applied in “bulletin board” mapping

the scene of multiple individuals of the same species can be simulated well in scene modeling. Local transmogrification of the image shows that the continuity of the original image content remains

including the overall basic shape and internal structure. Therefore

this method is also applicable to image processing of several other out-of-shape natural scenes (e.g.

mountains

rivers

ocean waves).