Medical Image Enhancement Medical Image Enhancement Using Histogram ProcessingUsing Histogram Processing

Group No. 19Group No. 19Prashant Sharma (131042)Prashant Sharma (131042)

Prashant Upadhaya (131043)Prashant Upadhaya (131043)Ajeet Meena (121009)Ajeet Meena (121009)

JAYPEE UNIVERSITY OF ENGINEERING AND TECHNOLOGY Guna (M.P.)

• Medical Images are low contrast Images.

• Enhancement is needed to extract useful information from them.

• Better characteristics of medical images for a right diagnosis.

•Undertaking a challenging project in an interesting area of research.

•Beneficial for biomedical application.

•Goals-improve features and gain better characteristic for right diagnosis.

•For the welfare of society.

MOTIVATIONMOTIVATION

• YEONG-TAEG KIM (1997)- “Brightness preserving Bi-Histogram Equalization”

• Drawback -Brightness of an image changes after the histogram equalization.

• Overcome- Brightness preserving Bi-Histogram

Equalization

•J. Alex Stark (2000)- “Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization”.

•Scheme for adaptive image contrast enhancement based on a generalization of histogram equalization.

•Key feature-Cumulation Function

• Sukhjinder Singh, R.K. Bansal and Savina Bansal (2012)-”MEDICAL IMAGE ENHANCEMENT USING HISTOGRAM PROCESSING TECHNIQUES FOLLOWED BY MEDIAN FILTER “

• To enhance the image Global Histogram Equalization (GHE), Local Histogram Equalization (LHE) techniques are used.

• Limitation-Unpleasant visual artifact

• Overcome-Brightness Preserving Bi-Histogram Equalization (BBHE) and Dualistic Sub-Image Histogram Equalization (DSIHE).

• Dr. A. Sri Krishna , G. Srinivasa Rao and M. Sravya (2013)-”CONTRAST ENHANCEMENT TECHNIQUES USING HISTOGRAM EQUALIZATION METHODS”

• Limitation-Preserve brightness on the output but does not have a natural look.

• Overcome-Multi-HE

• Monali Pancha(2016)-”Contrast Enhancement Techniques to Improve the Quality of Medical Images”

• Visual examination of medical images is essential in the diagnosis of many diseases.

• Review of techniques and application.

• Kulwinder Kaur, Er. Inderpreet Kaur, Er. Jaspreet (2016)-”A Survey on Image Enhancement by Histogram equalization Methods”

•Study of various techniques of histogram equalization.

•Brightness Preserving Dynamic Histogram Equalization, Recursive Mean–Separate Histogram Equalization, Mean Brightness Preserving Histogram Equalization, etc.

•Sargun and Shashi B. Rana (2016)-A Review of Medical Image Enhancement Techniques for Image Processing

•Review about the techniques of medical image enhancement

•Detailed review-Histogram Equalization, Adaptive Histogram Equalization ,(BBHE) ,Contrast limited adaptive histogram equalization

Ability to boost the contrast in digital images in efficient manner by utilizing the edge preserving fuzzy filter hypothesis.

Edge preserving fuzzy has ability to reduce the effectuation of noise and yes it preserves the edges in efficient manner.

Histogram Modified Contrast Limited Adaptive Histogram Equalization (HM CLAHE) can be used to generate better result.

2016 2016Jul Aug Sep Oct Nov Dec

Topic Finalization

Problem analysis Solution

Design & formulation

TheoreticalAnalysis

Final Design to Implement

Literature Survey

2017 2017Jan Feb Mar Apr May Jun

Matlab Implementation

Result Gathering

Comparison With previous result

Fault Detection

Fault Rectification and final testing

Testing with different medical images

[1] YEONG-TAEG KIM (1997) “Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization” [2] J. Alex Stark (2000) “Adaptive Image Contrast Enhancement UsingGeneralizations of Histogram Equalization” [3] Sukhjinder Singh et.al “Medical Image Enhancement Using Histogram Processing Techniques Followed by Median Filter”[4] Dr. A. Sri Krishna , G. Srinivasa Rao and M. Sravya (2013)-”Contrast enhancement technique using histogram equalizatiom method”[5] Monali Pancha(2016)-”Contrast Enhancement Techniques to Improve the Quality of Medical Images”[6] Kulwinder Kaur, Er. Inderpreet Kaur, Er. Jaspreet (2016)-”A Survey on Image Enhancement by Histogram equalization Methods”[7] Sargun and Shashi B. Rana (2016)-”A Review of Medical Image Enhancement Techniques for Image Processing”[8] Gonzalez, Rafael C.(2009) “Digital image processing. Pearson Education India”