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Loganayagi, T.
- An Efficient Pose & Illumination Normalization Preprocessing Technique for Face Recognition
Authors
1 Mahendra Engineering College, Mallasamudram, Namakkal, IN
2 Kumaraguru College of Technology, Coimbatore, IN
Source
Digital Image Processing, Vol 6, No 6 (2014), Pagination: 254-260Abstract
Face recognition has made significant improvement in the last decade, but robust commercial applications are still lacking. Current authentication/ identification applications are limited to controlled settings, e.g., limited pose and illumination changes. This paper proposes a novel framework for real-world face recognition in uncontrolled settings named Face Analysis for Commercial Entities (FACE). Its robustness comes from normalization (“correction”) strategies to address pose and illumination variations. FACE adopts reliability indices, which estimate the “acceptability” of the final identification decision made by the classifier. The rewards of FACE are: data fusion; online identity management; and interoperability. The results obtained by FACE witness a significant increase in accuracy when compared with the results produced by the other algorithmic rule considered.
Keywords
Face Recognition, Identity Management, Inter Operability, Pose and Illumination Changes, Reliability Indices.
- A Robust Edge Preserving Bilateral Filter for Ultrasound Kidney Image
Authors
1 Department of ECE, Mahendra Engineering College, Namakkal - 637 503, Tamil Nadu, IN
2 Department of ECE, Sona College of Technology, Salem - 636 006, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 23 (2015), Pagination:Abstract
Objective: The speckle noise reduction is an important preprocessing step, normally performed to improve the segmentation of kidney images for the diagnosis of stones' presence or its size. The bilateral filter is a robust method for noise reduction with edge preservation. An attempt is made in this work to analyze the effectiveness of the bilateral filter for speckle reduction in ultrasound kidney images. Methods/Statistical Analysis: An open source software Fiji is used to develop the filtering algorithms for ultrasound kidney image. The bilateral filter performance is compared with familiar speckle filters named median filter, Speckle Reducing Anisotropic Diffusion (SRAD) filter and Non-Local Mean (NLM) filter. The authors have selected mainly Root Mean Square Error (RMSE) for image quality analysis, Signal to Noise Ratio (SNR) for comparison of noise with useful signal strength, Peak Signal to Noise Ratio (PSNR) for maximum amplitude of signal, Mean Absolute Error (MAE) for overall performance and Structural Similarity Index Measure (SSIM) for testing bilateral filter on kidney images. The statistical measures also calculated to distinguish the filter performances. Findings: The bilateral filter performance is proven as an effective method for speckle reduction in ultrasound kidney stone detection applications than the existing methods through quantitative and statistical analysis. Application/Improvement: The bilateral filter can offer better segmentation of kidney stone due to its effective speckle reduction.Keywords
Bilateral Filtering, Despeckling, Edge Preservation, Fiji, Kidney Stone, Ultrasound Image.Full Text
