ULTRASOUND IMAGE POST-PROCESSING – APPLICATION TO SEGMENTATION

2007 ◽  
pp. 227-239
Author(s):  
OLIVIER BASSET ◽  
CHRISTIAN CACHARD
Keyword(s):  
Ultrasound Image ◽  
Post Processing ◽  
Processing Application

Just type polyana and press Enter: a post-processing application designed with simplicity of use in mind

2019 ◽  
pp. 1-8
Author(s):  
Vasilios Raptis ◽  
Christos Dimitroulis ◽  
Theophanes Raptis
Keyword(s):  
Post Processing ◽  
Processing Application

Bone-free 3D Computed Tomography Angiography Using an Image-processing Application - Imaging Efficacy for Aneurysms Near the Skull Base and Clipped Cerebral Aneurysms

2010 ◽  
Vol 5 (1) ◽  
pp. 103
Author(s):  
Noriaki Tomura ◽  
Makoto Koga ◽  
Takahiro Otani ◽  
Toshiaki Nishii ◽  
Satoshi Takahashi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skull Base ◽  
Computed Tomography Angiography ◽  
Cerebral Aneurysms ◽  
Maximum Intensity Projection ◽  
Maximum Intensity ◽  
Post Processing ◽  
Processing Application ◽  
3D Computed Tomography ◽  
Image Processing Application

Bone-free 3D computed tomography angiography (CTA) can be carried out to image cerebral aneurysms near the skull base when the elimination of bones is surgically required. The maximum intensity projection (MIP) images were initially obtained using the application. Further post-processing was performed to obtain the MIP and volume-rendering (VR) images. This technique did not increase radiation exposure to patients, and remnant bones in the initial MIP images automatically acquired by the application for bone elimination could be easily removed through post-processing. Although parts of vessels were sometimes removed from the image along with the bones, these could be quickly and easily recovered through post-processing. Thus, bone-free 3D CTA and conventional 3D CTA are complementary tools for imaging cerebral aneurysms near the skull base prior to surgery. This application could also eliminate clips in cases of clipped cerebral aneurysms, and it could improve the accuracy of detecting remnant necks after clipping surgery.

Calibration of ECMWF seasonal ensemble precipitation reforecasts in Java (Indonesia) using bias-corrected precipitation and climate indices

2021 ◽  
Author(s):  
DIAN NUR RATRI ◽  
KIRIEN WHAN ◽  
MAURICE SCHMEITS
Keyword(s):  
Large Scale ◽  
Skill Score ◽  
Precipitation Forecast ◽  
Logistic Distribution ◽  
Climate Indices ◽  
Monthly Precipitation ◽  
Seasonal Precipitation ◽  
Post Processing ◽  
Processing Application ◽  
Ensemble Model Output Statistics

AbstractThe seasonal precipitation forecast is one of the essential inputs for economic and agricultural activities and has significant impact on decision making. Large-scale modes of climate variability have strong relationships with seasonal rainfall in Java and are natural candidates for use as potential predictors in a statistical post-processing application. We explore whether using climate indices as additional predictors in the statistical post-processing of ECMWF Seasonal Forecast System 5 (SEAS5) precipitation can improve skill. We use parametric statistical post-processing by applying a logistic distribution-based Ensemble Model Output Statistics (EMOS) technique. We add a variety of potential predictors in the analysis, namely SEAS5 raw and Empirical Quantile Mapping (EQM) bias-corrected precipitation, Nino3.4 index, Dipole Mode Index (DMI), Madden Julian Oscillation (MJO) indices, Sea Surface Temperature (SST) around Java, and several other predictors. We analyze the period of 1981-2010, focusing on July, August, September, and October. We use the Continuous Ranked Probability Skill Score (CRPSS) and Brier Skill Score (BSS) in a comparative verification of raw, EQM and EMOS seasonal precipitation forecasts. We have found that it is essential to use EQM-corrected precipitation as a predictor instead of raw precipitation in the latter. Besides, Nino3.4 and DMI forecasts are not needed as extra predictors to improve monthly precipitation forecasts for the first lead month, except for September. However, for somewhat longer lead months, in September and October when there is more skill than climatology, the model that includes only Nino3.4 and DMI forecasts as potential predictors performs about the same compared to the model that uses only EQM-corrected precipitation as a predictor.

APPLYING THE ISF TECHNOLOGY TO PRODUCE THE CAR PART MODELS

2010 ◽  
Vol 13 (4) ◽  
pp. 91-98
Author(s):  
Tuan Dinh Phan ◽  
Binh Thien Nguyen ◽  
Dien Khanh Le ◽  
Phuong Hoang Pham
Keyword(s):  
Rapid Prototyping ◽  
Incremental Sheet Forming ◽  
Cad Model ◽  
Post Processing ◽  
Technological Parameters ◽  
Batch Production ◽  
Complex Products ◽  
3D Cad ◽  
Real Size ◽  
Single Batch

The paper presents an application the research results previously done by group on the influence of technological parameters to the deformation angle and finish surface quality in order to choose technology parameters for the incremental sheet forming (ISF) process to produce products for the purpose of rapid prototyping or single-batch production, including all steps from design and process 3D CAD model, calculate and select the technological parameters, setting up manufacturing and the stage of post-processing. The samples formed successfully showed high applicability of this technology to practical work, the complex products with the real size can be produced in industries: automotive, motorcycle, civil...

Deteksi Bentuk Objek Bawah Tanah Menggunakan Pengolahan Citra B-Scan pada Ground Penetrating Radar (GPR)

2017 ◽  
Vol 3 (1) ◽  
pp. 73-83
Author(s):  
Rahmayati Alindra ◽  
Heroe Wijanto ◽  
Koredianto Usman
Keyword(s):  
Signal Processing ◽  
Ground Penetrating Radar ◽  
Post Processing ◽  
Data Survey ◽  
Ground Penetrating

Ground Penetrating Radar (GPR) adalah salah satu jenis radar yang digunakan untuk menyelidiki kondisi di bawah permukaan tanah tanpa harus menggali dan merusak tanah. Sistem GPR terdiri atas pengirim (transmitter), yaitu antena yang terhubung ke generator sinyal dan bagian penerima (receiver), yaitu antena yang terhubung ke LNA dan ADC yang kemudian terhubung ke unit pengolahan data hasil survey serta display sebagai tampilan output-nya dan post  processing untuk alat bantu mendapatkan informasi mengenai suatu objek. GPR bekerja dengan cara memancarkan gelombang elektromagnetik ke dalam tanah dan menerima sinyal yang dipantulkan oleh objek-objek di bawah permukaan tanah. Sinyal yang diterima kemudian diolah pada bagian signal processing dengan tujuan untuk menghasilkan gambaran kondisi di bawah permukaan tanah yang dapat dengan mudah dibaca dan diinterpretasikan oleh user. Signal processing sendiri terdiri dari beberapa tahap yaitu A-Scan yang meliputi perbaikan sinyal dan pendektesian objek satu dimensi, B-Scan untuk pemrosesan data dua dimensi  dan C-Scan untuk pemrosesan data tiga dimensi. Metode yang digunakan pada pemrosesan B-Scan salah satunya adalah dengan  teknik pemrosesan citra. Dengan pemrosesan citra, data survey B-scan diolah untuk didapatkan informasi mengenai objek. Pada penelitian ini, diterapkan teori gradien garis pada pemrosesan citra B-scan untuk menentukan bentuk dua dimensi dari objek bawah tanah yaitu persegi, segitiga atau lingkaran. 

A Flying Gray Ball Multi-illuminant Image Dataset for Color Research

2020 ◽  
Vol 64 (5) ◽  
pp. 50411-1-50411-8
Author(s):  
Hoda Aghaei ◽  
Brian Funt
Keyword(s):  
Machine Vision ◽  
Spectral Reflectance ◽  
Color Constancy ◽  
Ground Truth ◽  
Practical Approach ◽  
Post Processing ◽  
Illumination Estimation ◽  
Processing Step ◽  
Image Dataset

Abstract For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.

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