Effect of Different Filtering Techniques on Medical and Document Image

2020 ◽  
pp. 727-736
Author(s):  
Wan Azani Mustafa ◽  
Syafiq Sam ◽  
Mohd Aminudin Jamlos ◽  
Wan Khairunizam
Keyword(s):  
Document Image ◽  
Filtering Techniques

A Comparative Study of Digital Filtering Techniques in Ultrasound and Carotid Bifurcation Atherosclerosis

2018 ◽  
Vol 1 (1) ◽  
pp. 5-12
Author(s):  
Adriana Milășan ◽  
◽  
Cristian Molder ◽  
Silviu Dumitrescu ◽  
◽  
...  
Keyword(s):  
Comparative Study ◽  
Digital Filtering ◽  
Carotid Bifurcation ◽  
Filtering Techniques

THE TECHNIQUE OF EXTRACTION TEXT AREAS ON SCANNED DOCUMENT IMAGE USING LINEAR FILTRATION

2019 ◽  
Vol 2 (3) ◽  
pp. 206-215
Author(s):  
Alesya Ishchenko ◽  
Alexandr Nesteryuk ◽  
Marina Polyakova
Keyword(s):  
Document Image ◽  
Linear Filtration

Survey on Spatial Filtering Techniques

2012 ◽  
Vol 3 (4) ◽  
pp. 153-156
Author(s):  
A.Rajamani A.Rajamani ◽  
◽  
Dr.V.Krishnaveni Dr.V.Krishnaveni
Keyword(s):  
Spatial Filtering ◽  
Filtering Techniques

Simple and Efficient Document Image Binarization Technique For Degraded Document Images

2012 ◽  
Vol 3 (5) ◽  
pp. 217-220
Author(s):  
Manju Joseph ◽  
◽  
Jijina K.P Jijina K.P
Keyword(s):  
Document Image ◽  
Document Images ◽  
Image Binarization ◽  
Document Image Binarization ◽  
Degraded Document

Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compression

2020 ◽  
Vol 2020 (9) ◽  
pp. 323-1-323-8
Author(s):  
Litao Hu ◽  
Zhenhua Hu ◽  
Peter Bauer ◽  
Todd J. Harris ◽  
Jan P. Allebach
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Research Area ◽  
Input Image ◽  
Quality Score ◽  
Document Image ◽  
Digital Cameras ◽  
Active Research ◽  
Traditional Approaches

Image quality assessment has been a very active research area in the field of image processing, and there have been numerous methods proposed. However, most of the existing methods focus on digital images that only or mainly contain pictures or photos taken by digital cameras. Traditional approaches evaluate an input image as a whole and try to estimate a quality score for the image, in order to give viewers an idea of how “good” the image looks. In this paper, we mainly focus on the quality evaluation of contents of symbols like texts, bar-codes, QR-codes, lines, and hand-writings in target images. Estimating a quality score for this kind of information can be based on whether or not it is readable by a human, or recognizable by a decoder. Moreover, we mainly study the viewing quality of the scanned document of a printed image. For this purpose, we propose a novel image quality assessment algorithm that is able to determine the readability of a scanned document or regions in a scanned document. Experimental results on some testing images demonstrate the effectiveness of our method.

An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain

2020 ◽  
Vol 64 (3) ◽  
pp. 30401-1-30401-14 ◽  
Author(s):  
Chih-Hsien Hsia ◽  
Ting-Yu Lin ◽  
Jen-Shiun Chiang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Document Image ◽  
Background Information ◽  
Raspberry Pi ◽  
Discrete Wavelet ◽  
Image System ◽  
Low Frequencies ◽  
Cost Efficient ◽  
Binarization Method

Abstract In recent years, the preservation of handwritten historical documents and scripts archived by digitized images has been gradually emphasized. However, the selection of different thicknesses of the paper for printing or writing is likely to make the content of the back page seep into the front page. In order to solve this, a cost-efficient document image system is proposed. In this system, the authors use Adaptive Directional Lifting-Based Discrete Wavelet Transform to transform image data from spatial domain to frequency domain and perform on high and low frequencies, respectively. For low frequencies, the authors use local threshold to remove most background information. For high frequencies, they use modified Least Mean Square training algorithm to produce a unique weighted mask and perform convolution on original frequency, respectively. Afterward, Inverse Adaptive Directional Lifting-Based Discrete Wavelet Transform is performed to reconstruct the four subband images to a resulting image with original size. Finally, a global binarization method, Otsu’s method, is applied to transform a gray scale image to a binary image as the output result. The results show that the difference in operation time of this work between a personal computer (PC) and Raspberry Pi is little. Therefore, the proposed cost-efficient document image system which performed on Raspberry Pi embedded platform has the same performance and obtains the same results as those performed on a PC.

Diagnostic analysis of vibration signals using adaptive digital filtering techniques

1983 ◽  
Author(s):  
R. JEWELL ◽  
J. JONES ◽  
J. PAUL
Keyword(s):  
Digital Filtering ◽  
Diagnostic Analysis ◽  
Vibration Signals ◽  
Filtering Techniques

Object Detection and Filtering Techniques of Underwater Images A Review

2019 ◽  
Vol 7 (9) ◽  
pp. 102-107
Author(s):  
a Martin ◽  
Nishchol Mishra
Keyword(s):  
Object Detection ◽  
Filtering Techniques

FETAL ECG EXTRACTION USING WAVELET AND ADAPTIVE FILTERING TECHNIQUES

2016 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
PRASAD K. PURUSHOTHAM ◽  
ANURADHA B. ◽  
◽  
Keyword(s):  
Adaptive Filtering ◽  
Fetal Ecg ◽  
Filtering Techniques

Image Noise Reduction Using Linear and Nonlinear Filtering Techniques

2019 ◽  
Vol 9 (8) ◽  
pp. p92113
Author(s):  
Ni Ni Win ◽  
Khin Khat Khat Kyaw ◽  
Thu Zar Win ◽  
Phyo Phyo Aung
Keyword(s):  
Noise Reduction ◽  
Nonlinear Filtering ◽  
Image Noise ◽  
Image Noise Reduction ◽  
Linear And Nonlinear ◽  
Filtering Techniques
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