Human visual system based unsharp masking for enhancement of mammographic images
•NPF has shown distinguished performance when applied for mammogram enhancement.•This paper presents the usage of NPF in design of Non-Linear Unsharp Masking (UM) framework for the enhancement of mammographic images.•Application of HVS based adaptive thresholding and non-linear fusion operators prov...
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| Veröffentlicht in: | Journal of computational science Jg. 21; S. 387 - 393 |
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| Abstract | •NPF has shown distinguished performance when applied for mammogram enhancement.•This paper presents the usage of NPF in design of Non-Linear Unsharp Masking (UM) framework for the enhancement of mammographic images.•Application of HVS based adaptive thresholding and non-linear fusion operators provides for an effective minimization of background noises.
Non-Linear Polynomial Filters (NPF) consists of a schema of linear and quadratic filter components operating as a fusion of low-and high pass filters. NPF has shown distinguished performance when applied for mammogram enhancement. The role has been multifaceted, as there is visual contrast improvement of Region-of-Interest (ROI), i.e. the tumor region as well as those of the surrounding diagnostic features. This paper presents the usage of NPF in design of Non-Linear Unsharp Masking (UM) framework for the enhancement of X-ray mammograms (digital mammographic images). The UM approach presented consists of operational modules namely: edge preserving and contrast enhancement algorithms which are realized using different variants of NPF. Application of Human Visual System (HVS) based adaptive thresholding during contrast enhancement provides for an effective minimization of background noises. The responses of the different modules are then combined using non-linear fusion operators based on an improved logarithmic model of perception and human vision. The obtained enhancement results demonstrate noteworthy improvement in contrast of lesion region together with better visualization of lesion margins and fine details. It has been subjectively as well as objectively shown that the enhancement of the contrast and edges do not introduces unwanted overshoots in the ROI. |
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| AbstractList | •NPF has shown distinguished performance when applied for mammogram enhancement.•This paper presents the usage of NPF in design of Non-Linear Unsharp Masking (UM) framework for the enhancement of mammographic images.•Application of HVS based adaptive thresholding and non-linear fusion operators provides for an effective minimization of background noises.
Non-Linear Polynomial Filters (NPF) consists of a schema of linear and quadratic filter components operating as a fusion of low-and high pass filters. NPF has shown distinguished performance when applied for mammogram enhancement. The role has been multifaceted, as there is visual contrast improvement of Region-of-Interest (ROI), i.e. the tumor region as well as those of the surrounding diagnostic features. This paper presents the usage of NPF in design of Non-Linear Unsharp Masking (UM) framework for the enhancement of X-ray mammograms (digital mammographic images). The UM approach presented consists of operational modules namely: edge preserving and contrast enhancement algorithms which are realized using different variants of NPF. Application of Human Visual System (HVS) based adaptive thresholding during contrast enhancement provides for an effective minimization of background noises. The responses of the different modules are then combined using non-linear fusion operators based on an improved logarithmic model of perception and human vision. The obtained enhancement results demonstrate noteworthy improvement in contrast of lesion region together with better visualization of lesion margins and fine details. It has been subjectively as well as objectively shown that the enhancement of the contrast and edges do not introduces unwanted overshoots in the ROI. |
| Author | Urooj, Shabana Misra, Mukul Bhateja, Vikrant |
| Author_xml | – sequence: 1 givenname: Vikrant surname: Bhateja fullname: Bhateja, Vikrant email: bhateja.vikrant@ieee.org organization: Faculty of Electronics & Communication Engineering, Shri Ramswaroop Memorial University, Lucknow-Deva Road, U.P., India – sequence: 2 givenname: Mukul surname: Misra fullname: Misra, Mukul organization: Faculty of Electronics & Communication Engineering, Shri Ramswaroop Memorial University, Lucknow-Deva Road, U.P., India – sequence: 3 givenname: Shabana surname: Urooj fullname: Urooj, Shabana organization: Department of Electrical Engineering, School of Engineering, Gautam Buddha University, Greater-Noida, U.P., India |
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| Keywords | Non-linear fusion Contrast enhancement algorithm Symmetric logarithmic image processing (SLIP) model Unsharp masking (UM) Mammograms |
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| SubjectTerms | Contrast enhancement algorithm Mammograms Non-linear fusion Symmetric logarithmic image processing (SLIP) model Unsharp masking (UM) |
| Title | Human visual system based unsharp masking for enhancement of mammographic images |
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