Modeling of objects surfaces in computer tomography images

U potrazi za što vjerodostojnijim prikazom 3D modela razvijaju se i koriste razne metode segmentacije. Segmentacija se definira kao rastav neke cjeline na dijelove na način da se objekti sličnih svojstava po nekom uvjetu drže zajedno. Metoda računalne tomografije koristi rendgenske ili x-zrake koje prolaze kroz tijelo te atenuiraju ili se u potpunosti apsorbiraju s obzirom na vrstu tkiva kroz koje prolaze. Zrake koje prođu kroz tijelo dolaze do detektora koji s obzirom na jačinu zraka stvaraju sliku. Faze valićnih transformacija signala na mjestima prekida pokazuju svojstvo koherencije, što znaci da su linearne i sijeku se točno u točki prekida, ili, ako je prijelaz blaži, imaju tendenciju skupljanja u toj točki. To svojstvo je iskorišteno u potrazi rubova. Prikazani su rezultati i usporedba s metodom praga te priloženi kodovi.In search of an authentic presentation of 3D models are developed and used various methods of segmentation. Segmentation is defined as the decomposition of a whole into parts so that the objects of similar properties after some condition are held together. Computed Tomography is based on the x-ray principal: as x-rays pass through the body, they are absorbed or attenuated at differing levels creating a matrix or profile of x-ray beams of different strength. Detectors measure the x-ray profile to create the image. The phases of wavelet transformations of signals show the property of coherence in places of discontinuity, which means they are linear and intersect at exactly the point of discontinuity. This property is used to search the edges. There are results and comparison with threshold method shown below. Also, there are codes enclosed