The advantage of image techniques is that they require no expensive equipment we use NURBS, subdivision surface and mesh for finding the depth of any image with one still view or 2D image. Another representation for this subject is concerned with building 3D geometric models from physical objects using image-based techniques. At the end of our discussion we will obtain the solid form, using the so called NURBS (Non-Uniform Rational B-Spline) which depends on: the degree of freedom, control points, knots, and an evaluation rule and is defined as a mathematical representation of 3-D geometry that can accurately describe any shape from a simple 2-D line, circle, arc, or curve to the most complex 3-D organic free-form surface or (solid) which depends on finding the Bezier curve and creating family of curves (surface), then filling in between to obtain the solid form. The methods for creating Bezier curves and surface with unknown distribution, using only control points. The fifth subject, the Bezier curves and surface, will be discussed in details. More details about this subject will be discussed below. The fourth subject consists of the process of using the image warping methods for finding the depth of 2-D images using affine transformation, bilinear transformation, projective mapping, Mosaic warping and similarity transformation. In third subject, we attempt to find 3-D images from 1-D or 2-D images using texture mapping with Open Gl under Visual C ++ language programming. In the second subject, we examine using different methods, as Steepest Descent Algorithm (SDA) and the Wavelet Transformation, to detect and filling the cracks, and it's applications in different areas as Nano technology and Bio-technology.
The first subject discus Wiener filter for filtering images.
This thesis contains five main subjects in eight chapters and two appendices.