  Breast lesion localization using tactile imaging is a new and developing
direction in medical science. To achieve the goal, proper image reconstruction
and image registration can be a valuable asset. In this paper, a new approach
of the segmentation-based image surface reconstruction algorithm is used to
reconstruct the surface of a breast phantom. In breast tissue, the sub-dermal
vein network is used as a distinguishable pattern for reconstruction. The
proposed image capturing device contacts the surface of the phantom, and
surface deformation will occur due to applied force at the time of scanning. A
novel force based surface rectification system is used to reconstruct a
deformed surface image to its original structure. For the construction of the
full surface from rectified images, advanced affine scale-invariant feature
transform (A-SIFT) is proposed to reduce the affine effect in time when data
capturing. Camera position based image stitching approach is applied to
construct the final original non-rigid surface. The proposed model is validated
in theoretical models and real scenarios, to demonstrate its advantages with
respect to competing methods. The result of the proposed method, applied to
path reconstruction, ends with a positioning accuracy of 99.7%
