Hi List,
Great program. I am a newbie with a bunch of particles and need to calculate the average distance between them. There must be a way. Thanks Dan Batzel, PhD Research Scientist Gentex Corporation Carbondale, PA 570-282-8545 www.gentexcorp.com The information contained in this communication and any files transmitted with itare confidential, may be attorney-client privileged, may constitute company privileged information, and is intended only for the use of the addressee. It is the property of Gentex Corporation or an affiliate thereof. Unauthorized use, disclosure, or copying of this communication or any part thereof is strictly prohibited and may be unlawful. If you have received this communication in error, please notify us immediately by return e-mail and destroy this communication and all copies thereof, including all attachments. |
Hi,
On Tue, 13 Mar 2007, Dan Batzel wrote: > Great program. I am a newbie with a bunch of particles and need to > calculate the average distance between them. There must be a way. First you must decide what you want _exactly_. Do you want the average distance between _neighbouring_ particles? Or do you want to get the next neighbour for each particle, and average _that_ distance? Or do you want to have a measure how much the particle layout deviates from a hexagonal layout? Ciao, Dscho |
Thanks for helping me to better frame my question.
I am looking to somehow establish the "disorder" of the particles in the image. Their deviation from a grid might be an interesting way to quantify this disorder. -----Original Message----- From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Johannes Schindelin Sent: Tuesday, March 13, 2007 12:47 PM To: [hidden email] Subject: Re: Interparticle distance Hi, On Tue, 13 Mar 2007, Dan Batzel wrote: > Great program. I am a newbie with a bunch of particles and need to > calculate the average distance between them. There must be a way. First you must decide what you want _exactly_. Do you want the average distance between _neighbouring_ particles? Or do you want to get the next neighbour for each particle, and average _that_ distance? Or do you want to have a measure how much the particle layout deviates from a hexagonal layout? Ciao, Dscho |
A well-known possibility is for that purpose to calculate the
distribution of watershed regions area generated from the particles. Hence start with a particle binary image, generate the watershed, measure the area of the regions. The variation, skewness even kurtosis of the area distribution are some sort of measure of disorder. Karsten Am 13.03.2007 um 18:23 schrieb Dan Batzel: > Thanks for helping me to better frame my question. > > I am looking to somehow establish the "disorder" of the particles > in the > image. > > Their deviation from a grid might be an interesting way to quantify > this > disorder. > > -----Original Message----- > From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of > Johannes Schindelin > Sent: Tuesday, March 13, 2007 12:47 PM > To: [hidden email] > Subject: Re: Interparticle distance > > Hi, > > On Tue, 13 Mar 2007, Dan Batzel wrote: > >> Great program. I am a newbie with a bunch of particles and need to >> calculate the average distance between them. There must be a way. > > First you must decide what you want _exactly_. Do you want the average > distance between _neighbouring_ particles? Or do you want to get the > next > neighbour for each particle, and average _that_ distance? Or do you > want > > to have a measure how much the particle layout deviates from a > hexagonal > > layout? > > Ciao, > Dscho |
There is a good section in the book Biostatistical Analysis (Zar) to
determine if you have a uniform, clustered, or random distribution of particles. In brief, divide the area you are examining into a grid that has the same number of squares as particles. Then count how many participles are in each square. Then compare the observed distribution with the distribution predicted by the Poisson distribution. By chance ~36% of the squares should have no particles, ~36% should have 1 one particles, ~18% should have two particles and so on. If the distribution is uniform, then there will be fewer than expected squares with no particles... Regards, Kyle On 3/13/07 4:09 PM, "Karsten Rodenacker" <[hidden email]> wrote: > A well-known possibility is for that purpose to calculate the > distribution of watershed regions area generated from the particles. > Hence start with a particle binary image, generate the watershed, > measure the area of the regions. The variation, skewness even > kurtosis of the area distribution are some sort of measure of disorder. > Karsten > > Am 13.03.2007 um 18:23 schrieb Dan Batzel: > >> Thanks for helping me to better frame my question. >> >> I am looking to somehow establish the "disorder" of the particles >> in the >> image. >> >> Their deviation from a grid might be an interesting way to quantify >> this >> disorder. >> >> -----Original Message----- >> From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of >> Johannes Schindelin >> Sent: Tuesday, March 13, 2007 12:47 PM >> To: [hidden email] >> Subject: Re: Interparticle distance >> >> Hi, >> >> On Tue, 13 Mar 2007, Dan Batzel wrote: >> >>> Great program. I am a newbie with a bunch of particles and need to >>> calculate the average distance between them. There must be a way. >> >> First you must decide what you want _exactly_. Do you want the average >> distance between _neighbouring_ particles? Or do you want to get the >> next >> neighbour for each particle, and average _that_ distance? Or do you >> want >> >> to have a measure how much the particle layout deviates from a >> hexagonal >> >> layout? >> >> Ciao, >> Dscho > > |
In reply to this post by Dan Batzel
Thanks to all for the neat ideas as they were most helpful to me (now to
the fun task of evaluating them). I am thinking that my particle disorder determination is a center of mass problem. In one respect, it's like measuring the difference between the U.S. center of population (the particles would be like cities) from its geographic center (center of the image). If the particles were perfectly distributed with equal size, then these two centers would be the same. Thanks again. Dan -----Original Message----- From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Dan Batzel Sent: Tuesday, March 13, 2007 1:24 PM To: [hidden email] Subject: Re: Interparticle distance Thanks for helping me to better frame my question. I am looking to somehow establish the "disorder" of the particles in the image. Their deviation from a grid might be an interesting way to quantify this disorder. -----Original Message----- From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Johannes Schindelin Sent: Tuesday, March 13, 2007 12:47 PM To: [hidden email] Subject: Re: Interparticle distance Hi, On Tue, 13 Mar 2007, Dan Batzel wrote: > Great program. I am a newbie with a bunch of particles and need to > calculate the average distance between them. There must be a way. First you must decide what you want _exactly_. Do you want the average distance between _neighbouring_ particles? Or do you want to get the next neighbour for each particle, and average _that_ distance? Or do you want to have a measure how much the particle layout deviates from a hexagonal layout? Ciao, Dscho |
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