An Image Processing Application for the Localization and Segmentation of Lymphoblast Cell Using Peripheral Blood Images

2011 ◽  
Vol 36 (4) ◽  
pp. 2149-2158 ◽  
Author(s):  
Hayan T. Madhloom ◽  
Sameem Abdul Kareem ◽  
Hany Ariffin
Keyword(s):  
Image Processing ◽  
Peripheral Blood ◽  
Processing Application ◽  
Image Processing Application

DFOG-Image Processing Application for Real-Time Defogging

2020 ◽  
Author(s):  
Indiketiya I.H.O.H ◽  
Kulasekara K.M.R.A ◽  
J.M. Thomas ◽  
Ishara Gamage ◽  
Thusithanjana Thilakarathna
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Application ◽  
Image Processing Application

Formulation of Fractional Derivative-Based De-Hazing Algorithm and Implementation on Mobile-Embedded Devices

2019 ◽  
Vol 19 (01) ◽  
pp. 1950003
Author(s):  
Uche A. Nnolim
Keyword(s):  
Image Processing ◽  
Fractional Derivative ◽  
Mobile Devices ◽  
Fractional Order ◽  
Spatial Filter ◽  
Embedded Devices ◽  
Processing Application ◽  
Fractional Order Calculus ◽  
Image Processing Application ◽  
Logarithmic Image Processing

This paper presents the modification of a previously developed algorithm using fractional order calculus and its implementation on mobile-embedded devices such as smartphones. The system performs enhancement on three categories of images such as those exhibiting uneven illumination, faded features/colors and hazy appearance. The key contributions include the simplified scheme for illumination correction, contrast enhancement and de-hazing using fractional derivative-based spatial filter kernels. These are achieved without resorting to logarithmic image processing, histogram-based statistics and complex de-hazing techniques employed by conventional algorithms. The simplified structure enables ease of implementation of the algorithm on mobile devices as an image processing application. Results indicate that the fractional order version of the algorithm yields good results relative to the integer order version and other algorithms from the literature.

Using of model-driven and object-oriented approach to designing image processing application

2019 ◽  
Author(s):  
Andrey Tarasiev ◽  
Margarita Filippova ◽  
Konstantin Aksyonov ◽  
Olga Aksyonova ◽  
Vasiliy Kruglov
Keyword(s):  
Image Processing ◽  
Object Oriented ◽  
Processing Application ◽  
Model Driven ◽  
Image Processing Application ◽  
Object Oriented Approach ◽  
Oriented Approach
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