scholarly journals Removing Rain Component from A Color Image

2021 ◽  
Vol 9 (4) ◽  
pp. 410-415
Keyword(s):  
Color Image ◽  
Vision System ◽  
Research Topic ◽  
Single Image ◽  
Computer Vision System ◽  
The Past ◽  
Active Research ◽  
Bad Weather ◽  
Outdoor Vision

It is well-known that a bad weather, e.g. haze, rain, or snow affects severely the quality of the captured images or videos. Also raindrops adhered to a glass window or camera lens can severely affect the visibility of background scene and degrade the image quality, which consequently degrades the performance of many image processing and computer vision system algorithms. These algorithms are used in various applications such as object detection, tracking, recognition, and surveillance also in navigation. Rain removal from a video or a single image has been an active research topic over the past decade. Today, it continues to draw attentions in outdoor vision systems (e.g. surveillance) where the ultimate goal is to produce a clear and clean image or video. The most critical task here is to separate rain component from the other part. For that purpose, we are proposing an efficient algorithm to remove rain from a color image.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

Vision-Based Precision Deburring and Edge Breaking Process Quality Control

2020 ◽  
Author(s):  
Kartik Gupta ◽  
Cindy Grimm ◽  
Burak Sencer ◽  
Ravi Balasubramanian
Keyword(s):  
Computer Vision ◽  
Quality Control ◽  
Vision System ◽  
Quality Measures ◽  
Cad Model ◽  
Computer Vision System ◽  
Part Geometry ◽  
Specialized Hardware ◽  
Original Part

Abstract This paper presents a computer vision system for evaluating the quality of deburring and edge breaking on aluminum and steel blocks. This technique produces both quantitative (size) and qualitative (quality) measures of chamfering operation from images taken with an off-the-shelf camera. We demonstrate that the proposed computer vision system can detect edge chamfering geometry within a 1–2mm range. The proposed technique does not require precise calibration of the camera to the part nor specialized hardware beyond a macro lens. Off-the-shelf components and a CAD model of the original part geometry are used for calibration. We also demonstrate the effectiveness of the proposed technique on edge breaking quality control.

scholarly journals Objective Evaluation of External Quality of Broccoli Heads Using a Computer Vision System

2016 ◽  
Vol 17 (4) ◽  
pp. 107-113 ◽  
Author(s):  
Yoshio MAKINO ◽  
Aoi WAKATSUKI ◽  
Genki AMINO ◽  
Seiichi OSHITA ◽  
Akari SATO ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Objective Evaluation ◽  
Computer Vision System ◽  
External Quality

Computer vision system: a tool for evaluating the quality of wheat in a grain tank

2018 ◽  
Author(s):  
Ivan Konovalenko ◽  
Aleksandr Shkanaev ◽  
Uryi Minkin ◽  
Aleksei Panchenko ◽  
Dmitry Putintsev ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Computer Vision System ◽  
System A

Research on Detection of Micro Plastic Gear Tooth Based on Dummy Circle Scan Method

2010 ◽  
Vol 37-38 ◽  
pp. 1002-1005
Author(s):  
Zhen Xiang Zhang ◽  
Kun Wang ◽  
Xun Yang ◽  
Lian Qing Chen
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Gear Tooth ◽  
Location Theory ◽  
Automatic Inspection ◽  
Computer Vision System ◽  
Image Preprocessing ◽  
Pixel Location ◽  
Plastic Gears

The quality of micro plastic gears was inspected with the image recognition technology herein. Focusing on the situation that gears’ defects were uncertain, the construction of computer vision system and the theories, technologies of digital image acquisition, image preprocessing, image segmentation as well as the sub-pixel location theory were studied thoroughly. A dummy circle scan method is presented to realize the gear tooth inspection, and the results indicate that it can meet request on the automatic inspection of micro plastic gears.

Immunoferritin localization of intracellular antigens in positively stained frozen sections

1978 ◽  
Vol 36 (2) ◽  
pp. 168-169
Author(s):  
K. T. Tokuyasu
Keyword(s):  
Surface Tension ◽  
Water Surface ◽  
Thin Layers ◽  
The Other ◽  
Positive Staining ◽  
Frozen Sections ◽  
The Past ◽  
Ultrathin Frozen Sections ◽  
Definition Of

During the past investigations of immunoferritin localization of intracellular antigens in ultrathin frozen sections, we found that the degree of negative staining required to delineate u1trastructural details was often too dense for the recognition of ferritin particles. The quality of positive staining of ultrathin frozen sections, on the other hand, has generally been far inferior to that attainable in conventional plastic embedded sections, particularly in the definition of membranes. As we discussed before, a main cause of this difficulty seemed to be the vulnerability of frozen sections to the damaging effects of air-water surface tension at the time of drying of the sections.Indeed, we found that the quality of positive staining is greatly improved when positively stained frozen sections are protected against the effects of surface tension by embedding them in thin layers of mechanically stable materials at the time of drying (unpublished).

Exercise Capacity in Chronic Heart Failure

2012 ◽  
Vol 9 (1) ◽  
pp. 57-60 ◽  
Author(s):  
Gina G Mentzer ◽  
Alex J Auseon
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Exercise Training ◽  
Exercise Capacity ◽  
Positive Impact ◽  
Pharmacologic Therapy ◽  
The Past ◽  
Diagnosis And Prognosis ◽  
Future Therapy

Heart failure (HF) affects more than 5 million people and has an increasing incidence and cost burden. Patients note symptoms of dyspnea and fatigue that result in a decreased quality of life, which has not drastically improved over the past decades despite advances in therapies. The assessment of exercise capacity can provide information regarding patient diagnosis and prognosis, while doubling as a potential future therapy. clinically, there is acceptance that exercise is safe in hf and can have a positive impact on morbidity and quality of life, although evidence for improvement in mortality is still lacking. specific prescriptions for exercise training have not been developed because many variables and confounding factors have prevented research trials from demonstrating an ideal regimen. Physicians are becoming more aware of the indices and goals for hf patients in exercise testing and therapy to provide comprehensive cardiac care. it is further postulated that a combination of exercise training and pharmacologic therapy may eventually provide the most benefits to those suffering from hf.

Bioethics In Neurospinal Patient Care

2018 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Andi Asadul Islam
Keyword(s):  
Time Frame ◽  
Hippocratic Oath ◽  
Moral Vision ◽  
Human Identity ◽  
The Past ◽  
Harvey Cushing ◽  
Sharp Focus ◽  
Realistic Approach ◽  
Cord Injury

Neurosurgery is among the newest of surgical disciplines, appearing in its modern incarnation at the dawn of twentieth century with the work of Harvey Cushing and contemporaries. Neurosurgical ethics involves challenges of manipulating anatomical locus of human identity and concerns of surgeons and patients who find themselves bound together in that venture.In recent years, neurosurgery ethics has taken on greater relevance as changes in society and technology have brought novel questions into sharp focus. Change of expanded armamentarium of techniques for interfacing with the human brain and spine— demand that we use philosophical reasoning to assess merits of technical innovations.Bioethics can be defined as systematic study of moral challenges in medicine, including moral vision, decisions, conduct, and policies related to medicine. Every surgeon should still take the Hippocratic Oath seriously and consider it a basic guide to follow good medical ethics in medical practice. It is simple and embodies three of the four modern bioethics principles – Respecting autonomy, beneficence, nonmaleficence, and justice.Spinal cord injury (SCI) is a devastating condition often affecting young and healthy individuals around the world. Currently, scientists are pressured on many fronts to develop an all-encompassing “cure” for paralysis. While scientific understanding of central nervous system (CNS) regeneration has advanced greatly in the past years, there are still many unknowns with regard to inducing successful regeneration. A more realistic approach is required if we are interested in improving the quality of life of a large proportion of the paralyzed population in a more expedient time frame.

Single Image Dehazing by Predicting Atmospheric Scattering Parameters

2020 ◽  
Vol 2020 (1) ◽  
pp. 74-77
Author(s):  
Simone Bianco ◽  
Luigi Celona ◽  
Flavio Piccoli
Keyword(s):  
Reference Image ◽  
Single Image ◽  
Scattering Parameters ◽  
Image Dehazing ◽  
Atmospheric Scattering ◽  
Local Structures ◽  
Full Reference ◽  
Reconstruction Quality ◽  
Single Image Dehazing

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.

Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

2017 ◽  
Vol 7 (8) ◽  
pp. 56
Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Human Perception ◽  
Histogram Equalization ◽  
Wavelet Shrinkage ◽  
Visual Appearance ◽  
Enhancement Method ◽  
Fuzzy Histogram ◽  
Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

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