Medical Image Segmentation

This article's prime task is about the Medicine Image Segmentation research.Before study Medicine Image Segmentation after image pretreatment,segmentation application in reality and to segmentes the algorithm finally the appraisal criterion, it has made a quite comprehensive introduction to the medicine image segmentation algorithm. Introduced with emphasis to Live the Wire algorithm two kind of optimized strategy. Raised the medicine image segmentation speed, the efficiency and the accuracy greatly, has the important theory value and the application value in the actual use.This article first introduced some quite classical smooth and peaked algorithm, makes the pretreatment for later period's segmentation; Then introduced three kind of classical medicine image segmentation algorithm; The fourth chapter mainly through studies the Live Wire algorithm the characteristic, through applies piles sorting in the Dijkstra algorithm, causes the algorithm the time order of complexity to reduce to O ( nlogn); Joins in this algorithm's most short-path search arrives at the goal node is the stop limiting condition, causes the algorithm the time order of complexity is smaller than O ( nlogn) by far, by enhances Live effectively the Wire algorithm movement the efficiency.At last, we introduced medicine image segmentation application finally in reality; And described has carried on the appraisal to the medicine image segmentation algorithm the method short present situation. Proposed the medicine image segmentation algorithm assessment method can be a present's image segmentation domain development hot spot.