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<p>The problems that algorithm designers encounter when existing programming environments and languages are used to solve real-world image-processing tasks are discussed. A method is proposed for abstracting, storing, and sharing image-processing knowledge that involves decomposing complex tasks into primitives (atoms) and then integrating them into new functional tools (molecules). The discussion covers operator classifications; the mechanism object, which makes it easier to generalize transformations (by conversion operators) representing complex associations between operators and transforming operator graphs; and building mechanisms.</p>
programming languages; image-processing; programming environments; abstracting; storing; sharing; operator classifications; mechanism object; operator graphs; computerised picture processing; programming environments

C. Fortunel, B. Zavidovique and V. Serfaty-Dutron, "Mechanism to Capture and Communicate Image-Processing Expertise," in IEEE Software, vol. 8, no. , pp. 37-50, 1991.
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