scholarly journals A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation

Computers ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 43
Author(s):  
Filipe Ferreira ◽  
Ivan Miguel Pires ◽  
Mónica Costa ◽  
Vasco Ponciano ◽  
Nuno M. Garcia ◽  
...  
Keyword(s):  
Image Processing ◽  
Size Structure ◽  
Color Image ◽  
Color Space ◽  
Quantitative Information ◽  
Systematic Investigation ◽  
Size Estimation ◽  
Wound Area ◽  
Computerized Image Processing ◽  
Processing Techniques

In recent years, research in tracking and assessing wound severity using computerized image processing has increased. With the emergence of mobile devices, powerful functionalities and processing capabilities have provided multiple non-invasive wound evaluation opportunities in both clinical and non-clinical settings. With current imaging technologies, objective and reliable techniques provide qualitative information that can be further processed to provide quantitative information on the size, structure, and color characteristics of wounds. These efficient image analysis algorithms help determine the injury features and the progress of healing in a short time. This paper presents a systematic investigation of articles that specifically address the measurement of wounds’ sizes with image processing techniques, promoting the connection between computer science and health. Of the 208 studies identified by searching electronic databases, 20 were included in the review. From the perspective of image processing color models, the most dominant model was the hue, saturation, and value (HSV) color space. We proposed that a method for measuring the wound area must implement different stages, including conversion to grayscale for further implementation of the threshold and a segmentation method to measure the wound area as the number of pixels for further conversion to metric units. Regarding devices, mobile technology is shown to have reached the level of reliable accuracy.

scholarly journals IDENTIFICATION OF MEGALOBLASTIC ANEMIA CELLS THROUGH THE USE OF IMAGE PROCESSING TECHNIQUES

2018 ◽  
Vol 4 (3) ◽  
pp. 1-5 ◽  
Author(s):  
Asaad Babker ◽  
Vyacheslav Lyashenko
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Blood Smear ◽  
Color Image ◽  
Megaloblastic Anemia ◽  
Cell Structure ◽  
Color Space ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Blood Smear Image

Objective: Our aim is to show the possibility of using different image processing techniques for blood smear analysis. Also our aim is to determine the sequence of image processing techniques to identify megaloblastic anemia cells. Methods: We consider blood smear image. We use a variety of image processing techniques to identify megaloblastic anemia cells. Among these methods, we distinguish the modification of the color space and the use of wavelets. Results: We developed a sequence of image processing techniques for blood smear image analysis and megaloblastic anemia cells identification. As a characteristic feature for megaloblastic anemia cells identification, we consider neutrophil image structure. We also use the morphological methods of image analysis in order to reveal the nuclear lobes in neutrophil structure. Conclusion: We can identify the megaloblastic anemia cells. To do this, we use the following sequence of blood smear image processing: color image modification, change of the image contrast, use of wavelets and morphological analysis of the cell structure. 

Algorithm for Real-Time Image Processing in the Robot Soccer

2011 ◽  
Vol 143-144 ◽  
pp. 737-741 ◽  
Author(s):  
Hai Bo Liu ◽  
Wei Wei Li ◽  
Yu Jie Dong
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Vision System ◽  
Color Space ◽  
Color Image Segmentation ◽  
New Method ◽  
Robot System ◽  
Robot Soccer ◽  
Seed Fill ◽  
Time Image

Vision system is an important part of the whole robot soccer system.In order to win the game, the robot system must be more quick and more accuracy.A color image segmentation method using improved seed-fill algorithm in YUV color space is introduced in this paper. The new method dramatically reduces the work of calculation,and speeds up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper.The second step of the vision sub system is identification the color block that separated by the first step.A improved seed fill algorithm is used in the paper.The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.

scholarly journals Development of Conventional Controller Based on Image Processing for Monitoring and Controlling Burning Zone Temperature in a Cement Plant in Rotary Kiln Process Through IOT

2021 ◽  
Vol 20 (4) ◽  
pp. 209-214
Author(s):  
Polaiah Bojja ◽  
N. Merrin Prasanna ◽  
Pamula Raja Kumari ◽  
T. Bhuvanendhiran ◽  
Panuganti Jayanth Kumar
Keyword(s):  
Image Processing ◽  
Rotary Kiln ◽  
Continuous Process ◽  
Color Space ◽  
Threshold Value ◽  
Cement Industry ◽  
Raspberry Pi ◽  
Python Language ◽  
Burning Zone ◽  
Processing Techniques

In the cement factories, a rotary kiln is a pyro-processing device that is used to raise the temperature of the materials in a continuous process. Temperature monitoring is an essential process in the rotary kiln to yield high quality clinker and it has been implemented using various image processing techniques. In this paper we are measuring and controlling the temperature of rotational kiln in cement industry to get proper clinker ouput. Burning zone flame images are captured using CCD(Charge Coupled Device) camera and are processed using image processing with PID(Proportion Integration and Derivative) controller and which are programmed on raspberry pi card with the help of python language, also the captured images and attributes are transferred to authorized mobile/pc through Raspberry PI by selecting the IP address of mobile or PC. All the attributes received in the mobile in the form of web page the according to the object following data temperature controlled and object is ceaselessly followed to get the proper clinker output. Picture handling calculation with Open cv, as indicated by the calculation the edge estimation of the camera is settled. The frame value of the camera is set. Conversion from RGB color space to HSV color space is achieved and the reference color threshold value is determined. The range esteem estimated by the camera is contrasted and the reference esteem. In this study temp of rotational kiln is measured effectively using PID controller, this controller continuously control the temperature of revolving kiln by varying the i/p images of burning zone at finally fix one flame which is giving 1400degc.

scholarly journals The Relation between Color Spaces and Compositional Data Analysis Demonstrated with Magnetic Resonance Image Processing Applications

2018 ◽  
Vol 47 (5) ◽  
pp. 34-46
Author(s):  
Omer Faruk Gulban
Keyword(s):  
Magnetic Resonance Imaging ◽  
Image Processing ◽  
Data Analysis ◽  
Magnetic Resonance ◽  
Compositional Data ◽  
Color Image ◽  
Color Space ◽  
Color Image Processing ◽  
Compositional Data Analysis ◽  
Resonance Imaging

This paper presents a novel application of compositional data analysis methods in the context of color image processing. A vector decomposition method is proposed to reveal compositional components of any vector with positive components followed by compositional data analysis to demonstrate the relation between color space concepts such as hue and saturation to their compositional counterparts. The proposed methods are applied to a magnetic resonance imaging dataset acquired from a living human brain and a digital color photograph to perform image fusion. Potential future applications in magnetic resonance imaging are mentioned and the benefits/disadvantages of the proposed methods are discussed in terms of color image processing.

Computerized Sheet-Metal Inspection Based on the Cross Network Communication

2012 ◽  
Vol 152-154 ◽  
pp. 331-335
Author(s):  
Takamasa Suzuki ◽  
Kotaro Sato ◽  
Shogo Muramatsu ◽  
Mitsuyoshi Murata ◽  
Toshiro Oitate
Keyword(s):  
Image Processing ◽  
Sheet Metal ◽  
Cost Reduction ◽  
Automatic Inspection ◽  
Metal Working ◽  
Image Processing Techniques ◽  
Computerized Image Processing ◽  
Traditional Processing ◽  
Processing Techniques ◽  
Processing Cycle

A non-traditional processing cycle for sheet-metal working based on the computerized image processing techniques is proposed. This novel system enables the effective fabrication cycle that realizes automatic inspection, quick delivery, and cost reduction.

A Digital Watermarking Algorithm of Color Image Based on Wavelet Transform

2012 ◽  
Vol 263-266 ◽  
pp. 2986-2989
Author(s):  
Yan Min Wang
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Digital Watermarking ◽  
Color Image ◽  
Color Space ◽  
Digital Watermark ◽  
Digital Audio ◽  
Cosine Transform ◽  
Digital Audio Watermarking

This paper presents an algorithm by embedding a digital watermark into an original color image. Considering the characteristics of HVS, YUV color space is employed, this algorithm presents a new adaptive digital audio watermarking based on discrete cosine transform. The result of the experiment shows that the proposed algorithm has good robustness against various image processing and attacks, good invisibility and stability.

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