Segmentation of tumor tissue in gray medical images using watershed transformation method

2010 ◽  
Vol 2 (4) ◽  
pp. 123-127 ◽  
Author(s):  
Saif D. Salman Ahmed A. Bahrani
Keyword(s):  
Tumor Tissue ◽  
Medical Images ◽  
Transformation Method ◽  
Watershed Transformation

scholarly journals Topological Charge Detection Using Generalized Contour-Sum Method from Distorted Donut-Shaped Optical Vortex Beams: Experimental Comparison of Closed Path Determination Methods

2019 ◽  
Vol 9 (19) ◽  
pp. 3956
Author(s):  
Wang ◽  
Huang ◽  
Toyoda ◽  
Liu
Keyword(s):  
Topological Charge ◽  
Circle Method ◽  
Transformation Method ◽  
Optical Vortex ◽  
Experimental Comparison ◽  
Average Intensity ◽  
Closed Path ◽  
Light Modulator ◽  
Watershed Transformation ◽  
Determination Methods

A generalized contour-sum method has been proposed to measure the topological charge (TC) of an optical vortex (OV) beam using a Shack–Hartmann wavefront sensor (SH-WFS). Moreover, a recent study extended it to be workable for measuring an aberrated OV beam. However, when the OV beam suffers from severe distortion, the closed path for circulation calculation becomes crucial. In this paper, we evaluate the performance of five closed path determination methods, including watershed transformation, maximum average-intensity circle extraction, a combination of watershed transformation and maximum average-intensity circle extraction, and perfectly round circles assignation. In the experiments, we used a phase-only spatial light modulator to generate OV beams and aberrations, while an SH-WFS was used to measure the intensity profile and phase slopes. The results show that when determining the TC values of distorted donut-shaped OV beams, the watershed-transformed maximum average-intensity circle method performed the best, and the maximum average-intensity circle method and the watershed transformation method came second and third, while the worst was the perfect circles assignation method. The discussions that explain our experimental results are also given.

scholarly journals Medical Image Authentication using Stationary Wavelet Transformation and Singular Value Decomposition

2019 ◽  
Vol 8 (3) ◽  
pp. 953-958
Keyword(s):  
Singular Value Decomposition ◽  
Medical Image ◽  
Wavelet Transformation ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Image Authentication ◽  
Transformation Method ◽  
Singular Value ◽  
Invariance Property ◽  
Value Decomposition

he proposed paper work is implemented using Stationary Wavelet Transformation (SWT) with Singular Value Decomposition (SVD).Even though, there are many other transformations, the Stationary Wavelet Transformation method is chosen for its shift invariance property. The designed method has three steps; the first step is the decomposing of the Medical image into sub-bands using SWT to find the value of sub band and as a second step is to apply SVD, third step will combine both the images with scaling factor. The experiments were conducted over gray scale of MRI and CT Medical images. The statistics of proposed method indicates that imperceptibility of Watermarked Medical images have a Peak Signal to Noise Ratio (PSNR) value of 50 DB for medical images. The robustness is ensured by having Correlation Coefficient (CC) of 1 for the retrieved watermark images. Security for the watermark is extended by encrypting the watermark with chaotic sequence.

scholarly journals Utilization of Topographic Imagery using Watershed Transformation in Watersheds Prone to Natural Disasters

2020 ◽  
Vol 8 (6) ◽  
pp. 3875-3878
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Natural Disasters ◽  
Transformation Method ◽  
Management Systems ◽  
Material Damage ◽  
Watershed Transformation ◽  
Flow Dimensions ◽  
Topographic Imaging ◽  
Natural Disaster Management

Indonesia is an archipelago that has abundant natural resources, however, problems arise in the process of utilizing natural resources, namely the emergence of natural disasters that have the potential to cause serious damage in several areas. The threat of floods and landslides in watersheds has become the main focus to be addressed as early as possible with the best solutions and planning. The use of topographic imaging in the field of remote sensing is one solution that is very useful in developing better natural disaster management systems. With the support of the use of the watershed transformation method, this study aims to obtain geographical situation data, both from the flow dimensions and slope conditions that affect the watershed discharge capacity. Thus, the risk of natural disasters can be minimized both from the level of material and non-material damage as early as possible.

Fuzzy Enhancement Method for Color Medical Images Based on Color Space Conversion

2013 ◽  
Vol 380-384 ◽  
pp. 3706-3709 ◽  
Author(s):  
Liang Hua ◽  
Zhen Tao Zhou ◽  
Ji Yang ◽  
Hao Feng ◽  
Li Jun Ding ◽  
...  
Keyword(s):  
Set Theory ◽  
Fuzzy Set Theory ◽  
High Speed ◽  
Medical Images ◽  
Color Space ◽  
Transformation Method ◽  
Inverse Transformation ◽  
Color Space Conversion ◽  
Fuzzy Enhancement ◽  
Enhancement Method

A new fuzzy enhancement method is put forward in the paper combining with Young-Helmholtz (Y-H) color space and fuzzy set theory. Color images with RGB tri-channels are transformed into Y-H color space by using Greaves transformation method. The colors image could be decomposed into chromaticity numbers matrix and intensity numbers matrix. The intensity numbers matrix is processed by using fuzzy enhancement arithmetic, while chromaticity numbers matrix keeps invariant. The primary chromaticity numbers matrix and enhanced intensity numbers matrix are processed by using Y-H inverse transformation. The method put forward in the paper have characteristics of efficiency, convenience and high speed. The method can achieve enhancement for color medical images without changing hue and saturation.

scholarly journals PEMANFAATAN CITRA TOPOGRAFI MENGGUNAKAN TRANSFORMASI WATERSHED PADA DAS YANG RAWAN BENCANA ALAM

2015 ◽  
Vol 13 (1) ◽  
pp. 64
Author(s):  
Muhtar .
Keyword(s):  
Natural Resources ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Water Discharge ◽  
Transformation Method ◽  
Material Damage ◽  
Topographic Image ◽  
Image Transformation ◽  
Watershed Transformation ◽  
Disaster Management System

PEMANFAATAN CITRA TOPOGRAFI MENGGUNAKAN TRANSFORMASI WATERSHED PADA DAS YANG RAWAN BENCANA ALAMImage Utilization Topography Using Watershed Transformation In Watersheds Natural Disaster ProneMuhtarJurusan Teknik Sipil Fakultas Teknik Universitas Muhammadiyah JemberAlamat Korespondensi : Jl. Karimata 49 JemberEmail: [email protected] a country which has abundant natural resources , Indonesia is faced with a problem that arises in the process of exploiting the natural resources , namely the emergence of natural disasters that could potentially cause serious damage in some areas . Threats to flooding and landslides in the watershed ( DAS ) has been in the spotlight of many researchers in finding the best solution . Utilization topographic image in the field of remote sensing is very useful in the development of disaster management system better . With the support of the use of watershed transformation method , it is possible to obtain data geographical situation , both of dimension flow and slope conditions affecting the water discharge capacity of the watershed . Thus , the risk of natural disasters can be minimized level of material and non-material damage .Keywords : Topography image , Transformation Watershed , Watershed , Natural Disaster ProneAbstrakSebagai Negara yang memiliki sumber daya alam melimpah, Indonesia dihadapkan pada suatu permasalahan yang muncul dalam proses pemanfaatan kekayaan alam itu, yaitu munculnya bencana alam yang berpotensi menyebabkan kerusakan serius dibeberapa daerah. Ancaman terhadap bahaya banjir dan tanah longsor pada daerah aliran sungai (DAS) telah menjadi sorotan banyak peneliti dalam mencari solusi terbaik. Pemanfaatan citra topografi dalam bidang penginderaan jauh sangat bermanfaat dalam pengembangan sistem penanggulangan bencana yang lebih baik. Dengan didukung dengan penggunaan metode transformasi watershed, dimungkinkan memperoleh data situasi geografis, baik dari dimensi aliran maupun kondisi kelerengan yang mempengaruhi kapasitas debit air DAS. Dengan demikian, resiko bencana alam dapat diminimalkan tingkat kerusakan materil maupun non materil.Kata kunci : Citra Topografi, Transformasi Watershed, Daerah Aliran Sungai, Rawan Bencana Alam

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