Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis

M. Nandan Prasad, Keerthana Prasad, K. T. Navya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an efficient color transfer approach as a pre-processing step, and demonstrate use of the method for enhancement of peripheral blood smear images. Peripheral blood smear analysis is subjective, laborious and is error prone. Automation is highly desirable to obtain objective and accurate results. It also would help reduce the burden of pathologists. However, automation of peripheral blood smear analysis is challenging due to the fact that the microscopic images suffer from illumination variations. Also, variations in the process of manual staining leads to variations in colors expressed by the various components of the peripheral blood smear namely the red blood cells, white blood cells and platelets. Many research groups have reported various approaches to color transfer to enhance the quality of peripheral blood smear images to facilitate automation. Color transfer approach uses a template image with the desirable qualities and transfers the color characteristics of this image to the images under study. We propose an efficient color transfer approach and demonstrate its use for enhancement of peripheral blood smear images.

Original languageEnglish
Title of host publicationRecent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers
EditorsK.C. Santosh, Ravindra S. Hegadi
PublisherSpringer Verlag
Pages134-142
Number of pages9
ISBN (Print)9789811391835
DOIs
Publication statusPublished - 01-01-2019
Event2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018 - Solapur, India
Duration: 21-12-201822-12-2018

Publication series

NameCommunications in Computer and Information Science
Volume1036
ISSN (Print)1865-0929

Conference

Conference2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018
CountryIndia
CitySolapur
Period21-12-1822-12-18

Fingerprint

Color Image
Blood
Enhancement
Color
Automation
Cells
Red Blood Cells
Platelets
Demonstrate
Preprocessing
Template
Illumination
Lighting
Cell
Processing

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Nandan Prasad, M., Prasad, K., & Navya, K. T. (2019). Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis. In K. C. Santosh, & R. S. Hegadi (Eds.), Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers (pp. 134-142). (Communications in Computer and Information Science; Vol. 1036). Springer Verlag. https://doi.org/10.1007/978-981-13-9184-2_12
Nandan Prasad, M. ; Prasad, Keerthana ; Navya, K. T. / Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis. Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers. editor / K.C. Santosh ; Ravindra S. Hegadi. Springer Verlag, 2019. pp. 134-142 (Communications in Computer and Information Science).
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abstract = "In this paper, we propose an efficient color transfer approach as a pre-processing step, and demonstrate use of the method for enhancement of peripheral blood smear images. Peripheral blood smear analysis is subjective, laborious and is error prone. Automation is highly desirable to obtain objective and accurate results. It also would help reduce the burden of pathologists. However, automation of peripheral blood smear analysis is challenging due to the fact that the microscopic images suffer from illumination variations. Also, variations in the process of manual staining leads to variations in colors expressed by the various components of the peripheral blood smear namely the red blood cells, white blood cells and platelets. Many research groups have reported various approaches to color transfer to enhance the quality of peripheral blood smear images to facilitate automation. Color transfer approach uses a template image with the desirable qualities and transfers the color characteristics of this image to the images under study. We propose an efficient color transfer approach and demonstrate its use for enhancement of peripheral blood smear images.",
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Nandan Prasad, M, Prasad, K & Navya, KT 2019, Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis. in KC Santosh & RS Hegadi (eds), Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 1036, Springer Verlag, pp. 134-142, 2nd International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018, Solapur, India, 21-12-18. https://doi.org/10.1007/978-981-13-9184-2_12

Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis. / Nandan Prasad, M.; Prasad, Keerthana; Navya, K. T.

Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers. ed. / K.C. Santosh; Ravindra S. Hegadi. Springer Verlag, 2019. p. 134-142 (Communications in Computer and Information Science; Vol. 1036).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nandan Prasad M, Prasad K, Navya KT. Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blood Smear Analysis. In Santosh KC, Hegadi RS, editors, Recent Trends in Image Processing and Pattern Recognition - 2nd International Conference, RTIP2R 2018, Revised Selected Papers. Springer Verlag. 2019. p. 134-142. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-13-9184-2_12