Image processing definition

Image processing means, in general, the computer-related discipline wherein analog or digital images are the main data object, or the manipulation and control of data representing two-dimensional images, including raster images generated by scanning and raster conversions of electronic data created in other formats, vector-based data from computer-aided design (CAD) and other illustration systems, and digital images from digital, video and other camera systems; or, specifically, the creation, preparation, capture, recording, indexing, storage, retrieval, reproduction, control, use and management of direct representations or images of documents using these techniques.
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Examples of Image processing in a sentence

  • Image processing, rectification and data integration system The processing system should be capable of integrating processed images with other data, such as map layers.

  • Image processing needs should be discussed in detail with MICRO personnel and will be billed depending upon analytical needs.

  • Image processing: At the request of users, MICRO can further assist with data processing and analysis, typically in the programs Avizo, VG Studio Max, and/or ImageJ.

  • Image processing and interpretation of land use/land cover and hydro geomorphology of mining lease and other infrastructure area covering on 1:10000 scale with field validation from the latest satellite imagery data.

  • Establish best practices for refining the Microstructure segmentation – Image processing – ML interaction toward building a solid PM.

  • Performance: Image processing applications tend to require more and more perfor- ▇▇▇▇▇ to deal with the large data sets provided by newer sensors.

  • It is a client server-based integrated package which includes components for document management, ForeMost records management, Image processing, and an Internet accessible interface to the underlying document repository.

  • Image processing software (ImageJ) was used to measure the % area of the pores and statistical analysis of particle sizes in the SEM images before and after cycling.

  • Image processing to reconstruct dendritic spines is very time consuming because there are not automatic software tools to obtain an accurate 3D reconstruction of the dendritic spine.

  • Image processing and interpretation of land use/land cover and hydro geomorphology of mining lease and other infrastructure area covering on 1:10000 scale with field validation from the latest satellite imagery data .