Target Image Mask Correction Based on Skeleton Divergence
نویسندگان
چکیده
منابع مشابه
Skeleton Extraction of Cerebrovascular Image Based on Topological Nodes
Skeleton extraction is a very challenging subject, and has an important application value. Because of the ambiguity and complexity of cerebrovascular image, the skeleton gained by conventional skeleton algorithms is discontinuous. This paper proposes a cerebrovascular image skeleton extraction algorithm based on topological nodes. This algorithm first determines the important topological nodes ...
متن کاملGeometry Algorithm on Skeleton Image Based Semaphore Gesture Recognition
Semaphore, a way of communicating remotely, usually practiced in scouting activities. Information is delivered by gestures or movements using specific tools such as flags, paddles or rods. Teacher and instructors are needed for learning semaphore in conventional way as they will give examples and make correction when such an error occured. Based on the practical need to provide an alternative w...
متن کاملImage Segmentation with a Shape Prior Based on Simplified Skeleton
In the paper we propose a new deformable shape model that is based on simplified skeleton graph. Such shape model allows to account for different shape variations and to introduce global constraints like known orientation or scale of the object. We combine the model with low-level image segmentation techniques based on Markov random fields and derive an approximate algorithm for the minimizatio...
متن کاملInvestigation on PEEK Fabrication Using Mask-image-projection-based Stereolithography
This paper presents the findings of an initial study of the fabrication of polyetheretherketone (PEEK) components based on the mask-image-projection-based Stereolithography (MIP-SL) process. PEEK is a semicrystalline thermoplastic with excellent mechanical and chemical resistance properties that are retained to high temperatures. It has been extensively used in the aerospace, automotive, biomed...
متن کاملModel Confidence Set Based on Kullback-Leibler Divergence Distance
Consider the problem of estimating true density, h(.) based upon a random sample X1,…, Xn. In general, h(.)is approximated using an appropriate in some sense, see below) model fƟ(x). This article using Vuong's (1989) test along with a collection of k(> 2) non-nested models constructs a set of appropriate models, say model confidence set, for unknown model h(.).Application of such confide...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Algorithms
سال: 2019
ISSN: 1999-4893
DOI: 10.3390/a12120251