Sentence examples for purpose image from inspiring English sources

This chapter deals with content-based image retrieval in special purpose image databases.

Our philosophy is based on the principle that the task of general purpose image repair is one of agglomeration, i.e., the algorithm should embody multiple high-performing distortion-specific repair modules such that seamless general purpose image repair is achieved.

However, in most of the cases, these descriptors solve a particular problem and fail for general purpose image classification and/or consume high computational cost.

In this paper, we introduce a new feature descriptor namely discriminative ternary census transform histogram (DTCTH) for general purpose image description.

We explain the general purpose image repair framework and one specific realization, dubbed GENII-1, which assumes that the image has been affected by one or more of four possible distortion types.The performance of GENII-1 is evaluated on 4000 distorted images, and shown to deliver substantial improvements in both quantitative and qualitative visual quality.

Unlike manual reassembly of image fragments in a general purpose image editing program (such as Photoshop), HistoStitcher© provides memory efficient operation on high resolution digitized histology images and a highly flexible stitching process capable of producing more accurate results in less time.

The first framework provides three dimensions of citizen-sourcing initiatives: purpose (image-making or ideation), collective intelligence type (professional knowledge or innovative ideas), and strategy (contest, wiki, social networking, or social voting).

For this purpose, images of 300 orange samples (Bam, Khooni and Thompson varieties) were acquired using a camera and the relevant features were extracted.

The "Corel" collection consists of approximately 10,000 general purpose images, which are then reduced to 202 and distributed among 32 similar images classes manually labeled by researchers [31] (the template that was used in this study).

For this purpose, images of the samples were also captured prior to the addition of the chemicals.

For the present purpose, images of membrane segments were recorded at a nominal magnification of ×43.000, in 2.048 × 2.048 (8-bit) images.