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Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing

J. Cabello, A. Bailey, I. Kitchen, M. Guy, K. Wells, Josien P. W. Pluim, Benoit M. Dawant
2009 Medical Imaging 2009: Image Processing  
In this paper a feature extraction based approach, based on region growing, is presented as a segmentation technique suitable for poor quality (low Contrast to Noise Ratio CNR) images, as often found in  ...  However, many segmentation approaches are optimized with the assumption of high contrast, and then fail when segmenting poor contrast to noise objects.  ...  Acknowledgment This work is supported by the RC-UK Basic Technology Multidimensional Integrated Intelligent Imaging (MI 3 ) programme (GR/S85733/01).  ... 
doi:10.1117/12.811325 dblp:conf/miip/CabelloBKGW09 fatcat:xc2z2l6uvbedvdr3s4iefb7xpq

An Adaptive Region Growing Method using Similarity Set Score and Homogeneity Value based on Neutrosophic Set Domain for Ultrasound Image Segmentation

Xue Jiang, Yanhui Guo, Haibin Chen, Yaqin Zhang, Yao Lu
2019 IEEE Access  
enhancing contrast in BUS images.  ...  INDEX TERMS Breast ultrasound, image segmentation, neutrosophic set, region growing, similarity set score. 60584 2169-3536  ...  However, due to the speckle noise and low contrast of the ultrasound image, previous image processing methods have not worked satisfied in the BUS images with blurry boundary and low contrast.  ... 
doi:10.1109/access.2019.2911560 fatcat:kqbofp2ibfdpdnsluj2ynueskm

A preliminary study on the knowledge-based delineation of anatomical structures for whole body PET-CT studies

Lingfeng Wen, Wilson Leung, Stefan Eberl, Dagan Feng, Jing Bai
2008 2008 International Conference on Technology and Applications in Biomedicine  
However, typically low-dose CT protocol without the use of contrast agent are used in PET-CT studies, which leads to low-contrast CT images with a relatively high level of noise.  ...  Currently, the majority of segmentation methods are focused on the segmentation of organs and tissues using high-contrast anatomical images such as high-dose CT with injected contrast agent.  ...  Region growing is then performed in CT image to derive a rough segmentation of the two kidneys.  ... 
doi:10.1109/itab.2008.4570549 fatcat:hfnjauzbrrdy5amtth645c2zp4

A Robust and Fast Method for Sidescan Sonar Image Segmentation Based on Region Growing

Xuyang Wang, Luyu Wang, Guolin Li, Xiang Xie
2021 Sensors  
For this purpose, a region growing based segmentation using the likelihood ratio testing method (RGLT) is proposed.  ...  However, due to the characteristics of low signal-to-noise ratio (SNR) and complex environmental noise of sonar, the existing methods with high accuracy and good robustness are mostly iterative methods  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21216960 pmid:34770267 pmcid:PMC8588333 fatcat:cbvd2vusjneanj4ceep2y5s3bi

Liver and tumour segmentation from abdominal CT images using adaptive threshold method

Deepesh Edwin, S. Hariharan
2016 International Journal of Biomedical Engineering and Technology  
In the second stage, liver region is segmented from the liver image. The liver is segmented from images using adaptive threshold finding and morphological processing.  ...  In the third stage, post processing enhancement is done on the segmented liver region to increase the contrast of liver region.  ...  Most of the automated liver segmentation accurate anatomical information about the visualized methods are based on region-growing, active contour or structures, thanks to their higher signal to noise ratio  ... 
doi:10.1504/ijbet.2016.077183 fatcat:3iln6mvmizhd3nq2bcvgaid424

Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation

A. Narayanaswamy, S. Dwarakapuram, C.S. Bjornsson, B.M. Cutler, W. Shain, B. Roysam
2010 IEEE Transactions on Medical Imaging  
On synthetic data, our meshes had average error per face (EPF) values of (0.1-1.6) voxels per mesh face for peak signal-to-noise ratios from (110-28 dB).  ...  This paper presents robust 3-D algorithms to segment vasculature that is imaged by labeling laminae, rather than the lumenal volume.  ...  ACKNOWLEDGMENT The authors would like to thank V. Mahadevan for helpful discussions.  ... 
doi:10.1109/tmi.2009.2022086 pmid:20199906 pmcid:PMC2852140 fatcat:b3t72wv5vbcphgo5ouh6qqridu

Automated segmentation of tissue structures in optical coherence tomography data

Fernando Gasca, Lukas Ramrath, Gereon Huettmann, Achim Schweikard
2009 Journal of Biomedical Optics  
The first region-growing algorithm uses an adaptive neighborhood homogeneity criterion based on a model of an OCT intensity course in tissue and a model of speckle noise corruption.  ...  It can be applied to an unfiltered OCT image. The second performs region growing on a filtered OCT image applying the local median as a measure for homogeneity in the region.  ...  Adaptive Neighborhood Region Growing ͑ARG͒ Common region growing approaches tend to fail in OCT images because of the exponential decay according to Eq. ͑1͒ and the speckle-noise corruption.  ... 
doi:10.1117/1.3156841 pmid:19566338 fatcat:dbp5ynnryjaoxjb5smnafisgjq

Small Target Segmentation Algorithm Based on Wavelet Transform and Mathematics Morphologic

Yanghua Li, Jie Zhao, Bo Mo
2013 International Journal of Electronics and Electrical Engineering  
Thirdly, the original images are segmented accurately with region growing algorithm to get the precise contours and centroid coordinates of the target area.  ...  Secondly, the fused images are segmented with an adaptive threshold to get the centroid coordinates of the target area.  ...  For the purpose of extracting the accurate and complete target from the complex background, both the adaptive threshold and the region growing algorithm are used to segment the image.  ... 
doi:10.12720/ijeee.1.2.76-79 fatcat:377hplo3vzcdpbzsdhpqocwdtm

Techniques to derive geometries for image-based Eulerian computations

Seth Dillard, James Buchholz, Sarah Vigmostad, Hyunggun Kim, H.S. Udaykumar
2014 Engineering computations  
Results produced by the three approaches are compared visually and with contrast ratio, signal-to-noise ratio, and contrast-to-noise ratio measures.  ...  Thus, for images with high contrast and low to moderate noise, active contours are generally preferable.  ...  The authors would also like to express their gratitude to Dr Michael Nixon, Dr Martin Schmidt and Dr Joel Stewart from AFRL-RWPC for providing the X-ray CT microstructure images used in this work, to Dr  ... 
doi:10.1108/ec-06-2012-0145 pmid:25750470 pmcid:PMC4351671 fatcat:bksjuuycrvad7mfevmjpgh2foe

A hybrid region growing tumour segmentation method for low contrast and high noise Nuclear Medicine (NM) images by combining a novel non-linear diffusion filter and global gradient measure (HNDF-GGM-RG)

Mahbubunnabi Tamal
2019 Heliyon  
Poor spatial resolution and low signal-to-noise ratio (SNR) along with the finite image sampling constraint make lesion segmentation on Nuclear Medicine (NM) images (e.g., PET-Positron Emission Tomography  ...  To overcome these limitations, a hybrid region growing segmentation method is proposed combining non-linear diffusion filter and global gradient measure (HNDF-GGM-RG).  ...  This paper proposes a novel hybrid global gradient measure based region growing method for low contrast and high noise NM images.  ... 
doi:10.1016/j.heliyon.2019.e02993 pmid:31879709 pmcid:PMC6920261 fatcat:b3jv6sootjbhddmv2cwomhnqti

Segmentation of Lung Lobes and Nodules in CT Images

S Anitha, S Sridhar
2010 Signal & Image Processing An International Journal  
Initially pre-processing is used to remove the noise present in CT image using filter, then the fissure regions are located using adaptive fissure sweep technique, then histogram equalization and region  ...  growing is applied to refine the oblique fissure.  ...  method, initially histogram equalization is used to enhance the contrast of the fissure region, and then the Region growing method is applied to refine the fissure.  ... 
doi:10.5121/sipij.2010.1101 fatcat:v3edds76r5ckroefkmuzmanudy

A Multi-objective Invasive Weed Optimization Method for Segmentation of Distress Images

Eslam Mohammed Abdelkader, Osama Moselhi, Mohamed Marzouk, Tarek Zayed
2020 Intelligent Automation and Soft Computing  
This highlights that the classical segmentation methods diverge in the case of complex, non-uniform illumination and low contrast images.  ...  PERFORMANCE METRICS THREE indicators are used to evaluate the quality of the segmented images, which are: mean-squared error ( ), peak signal to noise ratio ( ) and structural similarity index ( ).  ... 
doi:10.32604/iasc.2020.010100 fatcat:esmpqozgfrbr5kykqakqarlsbe

Image enhancement and edge-based mass segmentation in mammogram

Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu, Benoit M. Dawant, David R. Haynor
2010 Medical Imaging 2010: Image Processing  
The method first applies a contrast stretching function to adjust the image contrast, then uses a filtering function to reduce image noise.  ...  Finally, the boundary of the identified mass region is used as the contour of the segmented mass.  ...  for contrast adjusting functions and filtering sizes) and combining those segmentations in an ensemble to classify a suspicious mass as benign or malignant.  ... 
doi:10.1117/12.844492 dblp:conf/miip/ZhangTFR10 fatcat:4m4drnegyvcxvoucmm7onjj2ny

A Comparative Study of Retinal Image Processing Technique for Blood Vessel Segmentation

2016 International Journal of Science and Research (IJSR)  
The manual comparison of fundus images taken at different moments is a very time-consuming job and prone to human error because of the distortions between images that make superposition very difficult,  ...  We have compared different methods of retinal blood vessel segmentation based on parameters like accuracy, sensitivity, specificity and algorithms that have been used for blood vessel segmentation method  ...  If a noise was detected in image, the noise used to be eliminated using Noise Adaptive Fuzzy Switching Median Filter (NAFSM).  ... 
doi:10.21275/v5i4.nov162646 fatcat:yqbvltcdmbfkpfcr4yhe2oe5r4

Automatic Segmentation of Remote Sensing Images on Water Bodies Based on Image Enhancement

Jie Zhang, Minquan Feng, Yu Wang
2020 Traitement du signal  
The proposed method can filter the noise of non-target area, and enhance the water body in the original image.  ...  By virtue of high-resolution remote sensing satellites, there is a possibility to analyze remote sensing images on water bodies through digital image processing (DIP).  ...  This approach applies to the segmentation of remote sensing images on rivers with certain contrast.  ... 
doi:10.18280/ts.370616 fatcat:evyqwey33fgx3at2wieiza2hvm
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