Sentence examples for most image processing from inspiring English sources

The principal component analysis (PCA) method is widely used in most image processing applications to reduce the number of features by a normalization process. 1 PCA involves a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables called principal components.

Most image processing architectures adapted to morphological operations use structuring elements of a limited size.

For most image processing techniques, the 2-D counterpart can easily be extended to 3-D.

Sparsity-based models have proven to be very effective in most image processing applications.

An FPGA provides physical solutions for most image processing problems and offers a new hardware acceleration opportunity.

Image quality measure has become crucial for the most image processing application.

The pixels in an image can thus be processed simultaneously.Since most image-processing operations, such as sharpening up a fuzzy document, or altering the colours in a photograph, involve looking at the value of a particular pixel and then altering it depending on the value of adjacent pixels, this is a real advantage.

For an effective and efficient visual recognition system, the region-of-interest extraction of users is one of most important image processing duties.

The most relevant image processing procedures require the identification of green plants, in our experiments they comes from barley and maize fields including weeds, so that some type of action can be carried out, including site-specific treatments with chemical products or mechanical manipulations.

The most relevant image processing procedures require the identification of green plants, in our experiments they come from barley and corn crops including weeds, so that some types of action can be carried out, including site-specific treatments with chemical products or mechanical manipulations.

The most important image processing technique for noise reduction is the image denoising method.