@article{10.18756/edn.85.111,
	title = {{Computerised texture image analysis of biocrystallisation images}},
	shorttitle = {{Computerised texture image analysis of biocrystallisation images}},
	author = {Andersen, Jens-Otto},
	journal = {Elemente der Naturwissenschaft},
	year = {2006},
	volume = {85},
	pages = {111--111},
	url = {https://dx.doi.org/10.18756/edn.85.111},
	doi = {10.18756/edn.85.111},
	issn = {p-ISSN 0422-9630},
	language = {en},
	abstract = {<p>The five main conclusions of my investigations were:</p>

<p>1) So far several studies using computerised image analysis have been published, which were able to discriminate in a relevant manner between specific samples.</p>

<p>2) The approaches can be divided into textural and more structural approaches.</p>

<p>3) In some studies results were improved when introducing more structural elements into a textural approach.</p>

<p>4) Due to the structural character of a biocrystallisation picture we may expect that ultimately a structural approach will be most succesful.</p>

<p>5) We may not expect that image analysis will be able to reflect the {`}Gestalt{'} level of the samples, and is only a helpful tool in combination with visual evaluation.<br />
{\&}nbsp;</p>
},
	annote = {<p>The five main conclusions of my investigations were:</p>

<p>1) So far several studies using computerised image analysis have been published, which were able to discriminate in a relevant manner between specific samples.</p>

<p>2) The approaches can be divided into textural and more structural approaches.</p>

<p>3) In some studies results were improved when introducing more structural elements into a textural approach.</p>

<p>4) Due to the structural character of a biocrystallisation picture we may expect that ultimately a structural approach will be most succesful.</p>

<p>5) We may not expect that image analysis will be able to reflect the {`}Gestalt{'} level of the samples, and is only a helpful tool in combination with visual evaluation.<br />
{\&}nbsp;</p>
}
}