Parallelization of Local Diagonal Extrema Pattern Using a Graphical Processing Unit and Its Optimization

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)


The incorporation of medical imaging devices in diagnosis has resulted in huge collection of medical images in hospitals and health centres. A search for a similar image from this image collection corresponding to a new medical image is a much needed help for junior doctors or students. This task involves describing each image in the image collection and also new image. After this, a similarity measure is applied between the image in the image collection and new image. Texture features have been found to be efficient in describing medical images owing to their high discerning capability. Various texture features have been introduced by researchers. Local Diagonal Extrema Pattern (LDEP) is a texture feature that uses only local diagonal neighbours, and hence the dimensionality of resulting feature vector is reduced. In this chapter we discuss parallel LDEP extractor on a GPU using CUDA. A constant kernel execution time for medical images of various sizes has been obtained on a GeForce GTX 1050 GPU.

Original languageEnglish
Title of host publicationTrends in Mathematics
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
Publication statusPublished - 2021

Publication series

NameTrends in Mathematics
ISSN (Print)2297-0215
ISSN (Electronic)2297-024X

All Science Journal Classification (ASJC) codes

  • Mathematics(all)


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