On the Implementation of Centerline Extraction Based on Confidence Vote in Accumulation Map
نویسندگان
چکیده
// Step ii): apply the centerline extraction from confidence image. GeodesicGraphComputer::TSet aConfidenceSet (imConf.domain ()); // ii. a) Thresholding the confidence image: for (auto const &p: imConf.domain ()) if(imConf(p)>= 0.5) aConfidenceSet .insert (p); P3d p0 = acc. getMaxAccumulationPoint(); // ii. b) Computing the graph: GeodesicGraphComputer gg(4, aConfidenceSet , 3, acc.getDomain(), p0); gg. computeGraphFromGeodesic();
منابع مشابه
Extracting Vessel Centerlines From Retinal Images Using Topographical Properties and Directional Filters
In this paper we consider the problem of blood vessel segmentation in retinal images. After enhancing the retinal image we use green channel of images for segmentation as it provides better discrimination between vessels and background. We consider the negative of retinal green channel image as a topographical surface and extract ridge points on this surface. The points with this property are l...
متن کاملIdentification and Analysis of Factors Effecting the Implementation of Universal Banking Based on Fuzzy Cognitive Map
This study aims to determine the factors affecting the Implementation of Universal Banking. For this purpose, 50 factors were identified through the study of literature and interviews with experts and managers of the banking industry who had experienced in Universal banking implementation. These factors were classified into six categories: customer, infrastructure, process, structure, human re...
متن کاملExtracting Manufacturing Process Map in the Form of the IDEF Model Prerequisite for the Implementation of PFMEA in the Sugar Industry
The purpose of this research is to demonstrate the importance of extracting business process mappings as a prerequisite for the implementation of the PFMEA (Process Failure Mode and Effect Analysis). In the first stage, 30 production process failures were extracted in the meetings with factory managers. Then, a team was formed by the presence of process owners, and with the help of the project ...
متن کامل3D Geometric Analysis of Tubular Objects Based on Surface Normal Accumulation
This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumulates surface normal information, then peaks within this image are located by tracking. Finally, the positions of these are optimized to lie precisely on the tubular shape centerline. This method is very versatile, and...
متن کاملAccurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting
It is very useful and increasingly popular to extract accurate road centerlines from very-high-resolution (VHR) remote sensing imagery for various applications, such as road map generation and updating etc. There are three shortcomings of current methods: (a) Due to the noise and occlusions (owing to vehicles and trees), most road extraction methods bring in heterogeneous classification results...
متن کامل