ISSN 2394-5125
 

Research Article 


PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar.

Abstract
Three dimensional image processing is used in different image process real time applications such
medical imaging, satellite communication, underwater photography and industries. Imagery algorithms are used in day to
day life. The huge data and complexity, the processing of images are tedious process and couldn’t get effective decision.
Image processing algorithms are parallel processing and we need to use multicore CPUs and Graphics Processing units.
The high resolution image processing are pulse compression, synthetic aperture, tomography and underwater
photography. So processing above three dimensional images, we implement data layering normalization in 2D plane. The
dynamic range three dimensional images are selected and processed by using data layering normalization. The proposed
method has been analyzed and tested using TensorFlow. Here we use multicore deep learning GPUs test method
normalization process and verified by using experimental data. This method provides strong robustness, image
background equalization and decision making capabilities.

Key words: Three dimensional image processing, Tensorflow, data layering, normalization, Tensorflow, deep learning


 
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How to Cite this Article
Pubmed Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. JCR. 2020; 7(4): 1732-1737. doi:10.31838/jcr.07.04.284


Web Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. http://www.jcreview.com/?mno=116577 [Access: April 10, 2021]. doi:10.31838/jcr.07.04.284


AMA (American Medical Association) Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. JCR. 2020; 7(4): 1732-1737. doi:10.31838/jcr.07.04.284



Vancouver/ICMJE Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. JCR. (2020), [cited April 10, 2021]; 7(4): 1732-1737. doi:10.31838/jcr.07.04.284



Harvard Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar (2020) PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. JCR, 7 (4), 1732-1737. doi:10.31838/jcr.07.04.284



Turabian Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. 2020. PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. Journal of Critical Reviews, 7 (4), 1732-1737. doi:10.31838/jcr.07.04.284



Chicago Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. "PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW." Journal of Critical Reviews 7 (2020), 1732-1737. doi:10.31838/jcr.07.04.284



MLA (The Modern Language Association) Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar. "PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW." Journal of Critical Reviews 7.4 (2020), 1732-1737. Print. doi:10.31838/jcr.07.04.284



APA (American Psychological Association) Style

Mahendra Kumar B, Rambabu Arjunarao Vatti, Dr.K.A.Ansal, Akula Chandra Sekhar (2020) PERFORMANCE OF THREE DIMENSIONAL IMAGE PROCESSING METHOD BASED ON DATA LAYERING NORMALIZATION USING TENSORFLOW. Journal of Critical Reviews, 7 (4), 1732-1737. doi:10.31838/jcr.07.04.284