An efficient procedure for thinning the binary images is presented in this paper.The new fast parallel thinning algorithm is based on noncausal model with 5 by 5 window.Three steps are included in this procedure.Firstly,the preprocessing is used to get a perfect binary images.Secondly,the 5 by...
aThinning can be applied only to binary images. In this research Stentifords algorithm is chosen and used as a preprocessing step to remove classical thinning artifacts. Then the resultant image is thinned using Zhang-Suen’s algorithm because this method is used as a basis for comparison of ...
This paper presents an efficient parallel algorithm for thinning elongated 3D binary objects (e.g., bony structures, vessel trees, or airway trees). The proposed algorithm directly extracts medial lines as shape features from 3D binary objects by applying a brand- new class of thinning strategy ...
This new thinning algorithm works directly on the gray-scale images without the binarization step. The basic idea of this algorithm was given in a previous work of the author [36]. Generally, the gray values of pixels of ridges in the fingerprint image gradually decrease going from an edge ...
This proposition implies that an algorithm deleting in parallel Px(T,X)-simple points is guaranteed to preserve the topology. A new thinning scheme based on the parallel deletion of Px(T,X)-simple points may be derived; it needs neither a preliminary step of labelling nor the examination of...
The centroid was used as the lower slice for the region over with the analysis was performed. Full size image The binary images were used to create a “whole bone mask” of the entire bone volume by applying a closing algorithm (radius = 40 voxels) in 2D followed by region of ...
In this paper we have presented an algorithm for the extraction of the wire frame structure of a given 3-D object. The 3-D input object is assumed to be in a binary array. This object is first thinned and then segmented into planar segments. After segmentation, every segment of the obje...
Medical artificial intelligence (AI) offers great potential for recognizing signs of health conditions in retinal images and expediting the diagnosis of eye diseases and systemic disorders1. However, the development of AI models requires substantial anno
Understanding the genetic and nongenetic determinants of tumor protein 53 (TP53)-mutation-driven clonal evolution and subsequent transformation is a crucial step toward the design of rational therapeutic strategies. Here we carry out allelic resolution s
This latter strength of the algorithm is essential for its application to clinical trials or patient care. Investigators seeking to test new therapies to prevent the progression from iAMD to GA could apply the model to large databases of SD-OCT volumes and return a list of patients likely to ...