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Detecting Subsurface Circular Objects From Low Contrast Noisy Images: Applications In Microscope Image Enhancement

Soham De, Nupur Biswas, Abhijit Sanyal, Pulak Ray, Alokmay Datta
2012 Zenodo  
Particle detection in very noisy and low contrast images is an active field of research in image processing.  ...  In this article, a method is proposed for the efficient detection and sizing of subsurface spherical particles, which is used for the processing of softly fused Au nanoparticles.  ...  Fig. 4 . 4 The Modified Circular Hough Transform Explained. Fig. 5 . 5 Effect of Canny Edge Detection and Circular Hough Transform after the proposed pre-processing.  ... 
doi:10.5281/zenodo.1329385 fatcat:e4xjblle6zbh3fj62jkdl5ci3e

A robust firearm identification algorithm of forensic ballistics specimens

Z L Chuan, A A Jemain, C-Y Liong, N A M Ghani, L K Tan
2017 Journal of Physics, Conference Series  
The proposed algorithm comprises Laplacian sharpening filter, clustering-based threshold selection, unweighted least square estimator, and segment a square ROI from the noisy images.  ...  A total of 250 simulated noisy images collected from five different pistols of the same make, model and caliber are used to evaluate the robustness of the proposed algorithm.  ...  Acknowledgements The authors would like to express their sincere and unreserved appreciation to DSP Abdul Rahman Bin Kassim and his colleagues of the Royal Malaysian Police, who provide the equipments  ... 
doi:10.1088/1742-6596/890/1/012126 fatcat:kos7xb4ljbft7etjlpixc6nktq

Practical Decision Making Based on Joint Geometric-Probabilistic Analysis

Mostafa Borhani
2012 International Journal of Computing and Digital Systems  
The basic idea is to choose upper bands wavelet coefficients between transform outputs of original and morphological presentation of image.  ...  The dependency between parent and child wavelet coefficients of natural images was exploited by a generalized Bayesian-based algorithm.  ...  and 3D view of the Hough accumulator of various convolution kernels for circular Hough transform, center positions and radii of detected circles are marked.  ... 
doi:10.12785/ijcds/010106 fatcat:barzrlodzrgnvjmwxjlolgrqw4

A Survey on Image Analysis Techniques in Agricultural Product

H. Salome Hema Chitra, S. Suguna, S. Naganandini Sujatha
2016 Indian Journal of Science and Technology  
From the segmented image we extract features like colour, shape and texture for normal and defected seed which may help to identify the seed by image analysis techniques.  ...  Enhanced image goes through the processes of edge detection and segmentation.  ...  an object edge extraction uses Haar wavelet Transform followed by morphological operations such as dilation and erosion were used.For non-linear feature extraction circular Hough transform were used and  ... 
doi:10.17485/ijst/2016/v9i12/77171 fatcat:7kc3wc6skzgvfbwdasf7tagora

Adaptive Fuzzy Switching Noise Reduction Filter for Iris Pattern Recognition

Arezou Banitalebi Dehkordi, Syed Abdul Rahman Abu-Bakar
2015 Jurnal Teknologi  
The proposed low complexity AFSNR filter removes noise pixels by fuzzy switching between an adaptive median filter and the filling method.  ...  The proposed low complexity AFSNR filter removes noise pixels by fuzzy switching between an adaptive median filter and the filling method.  ...  Acknowledgement The authors would like to thank the Ministry of Higher Education (MOHE) and Universiti Technologi Malaysia for supporting this research under MIS scholarship.  ... 
doi:10.11113/jt.v73.3381 fatcat:2dqyxne6snbsffuvmbagmaavsq


Dr. Nandhagopal N
2021 Zenodo  
HUMAN EYE DETECTION SYSTEM FOR RECOGNIZE EYE DISEASES USING IMAGE PROCESSING: D.Sc Thesis.  ...  Instead of the thresholding , adaptive thresholding can use and circular Hough transform may also be implement to detect pupil region in future. ( Katarzyna Harezlak, A. et al., 2014) with other input  ...  In the projected structure, the 3 levels of filter used are pipelined. Figure 3 .Figure 3 . 33 12a12 Median filtered output image Figure 3 . 3 12 a. Noisy image converted as hex file from Matlab.  ... 
doi:10.5281/zenodo.5148811 fatcat:4pzov2mwtzd2hbgqsxib46snae

Recognition of Bloom/Yield in Crop Images Using Deep Learning Models for Smart Agriculture: A Review

Bini Darwin, Pamela Dharmaraj, Shajin Prince, Daniela Elena Popescu, Duraisamy Jude Hemanth
2021 Agronomy  
The yield of a crop may vary from year to year depending on the variations in climate, soil parameters and fertilizers used.  ...  The automation in image analysis with computer vision and deep learning models provides precise field and yield maps.  ...  The parting of individual fruits from clusters or to link disjoint fragments of the same fruit, the watershed algorithm was used along with a circular Hough transform.  ... 
doi:10.3390/agronomy11040646 fatcat:n3ru7ggspvgixlcu24meshbax4

Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances

Shankar Shambhu, Deepika Koundal, Prasenjit Das, Vinh Truong Hoang, Kiet Tran-Trung, Hamza Turabieh, Zhongxu Hu
2022 Computational Intelligence and Neuroscience  
extraction and selection, and (v) classification for the detection of malaria parasites using blood smear images.  ...  and intra-observer variations; (ii) microbiologists to take the second opinion from the automated computational methods for effective diagnosis of malaria; and (iii) finally, several issues remain addressed  ...  Type of blood smear Problems Reference Preprocessing technique used Remarks Limitations/challenges Used to remove noise Noisy blood smear image [20, 27] Median/Mean filter from blood smear images without  ... 
doi:10.1155/2022/3626726 pmid:35449742 pmcid:PMC9017520 fatcat:vrfmr5iderfrvlakaqg5nysrhe

Descriptive analysis of dental X-ray images using various practical methods: A review

Anuj Kumar, Harvendra Singh Bhadauria, Annapurna Singh
2021 PeerJ Computer Science  
Human dental image analysis is a challenging and time-consuming process due to the unspecified and uneven structures of various teeth, and hence the manual investigation of dental abnormalities is at par  ...  However, automation in the domain of dental image segmentation and examination is essentially the need of the hour in order to ensure error-free diagnosis and better treatment planning.  ...  In the first step, the tooth surface is partitioned using a region-widening approach and the Circular Hough Transform (CHT).  ... 
doi:10.7717/peerj-cs.620 pmid:34616881 pmcid:PMC8459782 fatcat:c6oxl4466jbyjcivjafgu2zr7e

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

Abd Al Rahman M. Abu Ebayyeh, Alireza Mousavi
2020 IEEE Access  
d: Hough Transform Hough transform were also one of the techniques used for feature extraction and defect detection applications, due to the ability to detect various shapes (e.g. linear, circular and  ...  Chang et al. in [297] used Hough Transform as a preprocessing approach to transform the circular shape of camera lens' into a linear shape before inspecting the defects.  ...  LIST OF ABBREVIATIONS The acronyms and abbreviations used throughout the review and their definitions are listed below:  ... 
doi:10.1109/access.2020.3029127 fatcat:hoimi667cndsrimsnwasamtdey

Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition

Rama Chellappa
2009 Foundations and Trends® in Signal Processing  
Goals In this monograph, we will examine several interesting video-based detection, modeling, and recognition problems such as object detection and tracking, structure from motion, shape recovery, face  ...  In the presence of noisy observations and other uncertainties, computer vision algorithms make use of statistical methods for robust inference.  ...  Acknowledgments The monograph has benefited immensely from the valuable comments of the reviewers and the editor. We are particularly indebted to Prof.  ... 
doi:10.1561/2000000007 fatcat:o5hmdnzbqvbdzjdu72jkojl5ya

Image Processing and Data Analysis, The Multiscale Approach

Lynne Seymour, J. -L. Starck, F. Murtagh, A. Bijaoui
1999 Journal of the American Statistical Association  
We extract all the connected trees resulting from each WTS maximum; Let us remark that this definition is very sensitive to the kind of wavelet transform used.  ...  We threshold scale-by-scale and we do an image labeling; 5. We determine the interscale relations; 6. We identify all the wavelet coefficient maxima of the WTS; 7.  ...  Data20 is a simulated noisy image, median and wave are the output images after respectively applying a median filter, and a thresholding in the wavelet space.  ... 
doi:10.2307/2669962 fatcat:vbfoayskbvbdjdse6eec5iy67i

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Zhang, W., +, TIM Sept. 2020 6262-6270 Image filtering 2-D Median Filter-Based Impulsive Noise Reduction in Multifrequency Phase-sensitive Demodulation of Electrical Impedance Tomography.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Automatic Discrimination of Color Retinal Images using the Bag of Words Approach [article]

Ibrahim Sadek
2016 arXiv   pre-print
We proposed to use a single based and multiple based methods for the construction of the visual dictionary by combining the histogram of word occurrences from each dictionary and building a single histogram  ...  The introduced approach is evaluated for automatic diagnosis of normal and abnormal color fundus images with bright lesions.  ...  Then, the background image is estimated using median filtering and subtracted from the enhanced image to minimize the effect of uneven illumination.  ... 
arXiv:1603.04327v1 fatcat:ad6pw5fhd5cxdo3gi7342bz52y

Segmentation of neuroanatomy in magnetic resonance images

Andrew Simmons, Simon R. Arridge, G. J. Barker, Paul S. Tofts, Murray H. Loew
1992 Medical Imaging VI: Image Processing  
All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is d e p e n d e n t upon the quality of the copy subm itted.  ...  In the unlikely e v e n t that the a u thor did not send a c o m p le te m anuscript and there are missing pages, these will be noted.  ...  The eyes have been identified on the basis of their shape using the Hough transform and a low-thresholded Canny edge image.  ... 
doi:10.1117/12.59406 fatcat:rbchl46uffcj5cysrho2pr2ewy
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