Xref: utzoo comp.sys.amiga.applications:893 comp.sys.amiga.graphics:1335 Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!wuarchive!sdd.hp.com!samsung!nstar!tbissett From: tbissett@nstar.rn.com (Travis Bissett) Newsgroups: comp.sys.amiga.applications,comp.sys.amiga.graphics Subject: Re: counting items in digitized images Message-ID: <0k7k22w161w@nstar.rn.com> Date: 7 May 91 19:03:56 GMT References: <1991May7.002855.4111@ducvax.auburn.edu> Sender: bbs@nstar.rn.com (BBS Account) Organization: NSTAR Public Access Unix 219-289-0287/317-251-7391 Lines: 34 bwaid@ducvax.auburn.edu writes: > Does anyone know of a program that will count the number of occurences of > something in a digitized image. Some people at a medical school are trying to > count the number of cells in an image on an Amiga. Any help will be > appreciated. Speaking from my own personal ignorance, I'd be surprised if you find a ready made canned solution to the problem you described. It really is non-trivial -- but then, it's the sort of challenge that many in academia and industry have been working on for a long time. In essence you've asked for a free and easy solution to the "robot vision" problem. You want to take a digitized image, perform certain signal processing techniques, and end up with an unamgbiguous set of visual "objects" (whether they are tansk or cells or bolts in a bag). It certainly is in the realm of technical possibility to count cells from a microscopic camera picture -- I've yet to hear of a commercial explotation of it, though, which suggests that the problem is still in the experimental/developmental stages. The counting part is easy --once you get a clean image of idebtifying cell structure just adapt normal OCR algorithms. But getting a setup and program versatile enough to remove all variables of slide specimen, camera noise, etc. is a real task. Maybe a semi-automatic process is good enough for now, where some grad student makes the decision about what signal processing needs to be performed in order to get the acceptable level of image quality. Sorry that I'm no help :-) Travis -- Travis Bissett NSTAR conferencing site 219-289-0287/317-251-7391 internet: tbissett@nstar.rn.com 1300 newsgroups - 8 inbound lines uucp: ..!uunet!nstar.rn.com!tbissett 99 file areas - 4300 megabytes --- backbone news & mail feeds available - contact larry@nstar.rn.com ---