Estimating volume of an object from two profile images
Estimating the volume of an object from two dimensional cross-sectional images of the object has applications in preventive and therapeutic medicine, automated industrial processing and defense. In this thesis, we present various approaches to achieve volume estimation from two profile images of the coronal (front) and sagittal (side) planes. The initial step in the process is segmenting the image to extract the object information. Secondly, the binary profile images are used to represent object slices based on an ellipse or rectangular cross section. The next step in estimating the volume is based on summing up the individual slice volumes along the height of the object. The known height of the object is used to give a relationship between the voxel volume and the actual volume. Finally objects of known volume are used to correct errors that may have occurred during segmentation and some of the optical effects of the camera. The thesis presents existing and modified approaches to achieve fast volume estimation from profile images.