Food Quality Research Basedon Various Image Processing Techniques

Quality analysis and inspection of different kind of foods based on various attributes using image processing. Different kind of foods are examined based on their physical characteristics such as size, colour, blob, shape and texture. Various methodologies are used for inspection as well as for detection of foods to identify and quantify the features based on mentioned characteristics. This technique helped in recognizing first-rate and healthy food that is to be released in markets. The main purpose of adopting this method is to include those specifications that could go unnoticed by naked eye. Also, inspection that is carried manually can be curtailed significantly thereby increasing the efficiency and reliability with better utilization of time.

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A Review On Leaves Disease Segmentation And Classification Techniques

International Journal of Scientific Research in Science and Technology ◽

10.32628/ijsrst1196333 ◽

2019 ◽

pp. 132-140

Author(s):

Soumya Ranjan Sahu ◽

Chandra Sekhar Panda

Keyword(s):

Image Processing ◽

Human Health ◽

Traditional Method ◽

Plant Diseases ◽

Image Processing Techniques ◽

Naked Eye ◽

The People ◽

Different Types ◽

Processing Techniques

Agriculture plays a major role in our society. Most of the people depend on agriculture for their living. It becomes very important part of society for their livelihood. But there are some problems on agriculture that directly or indirectly affect the human health and also economy. The major problem for agriculture is the plant diseases. This paper is based on a survey of different types of techniques used for segmenting and classification of plant diseases by using image processing techniques. By these techniques, we can easily detect the area of the infected part or can identify the type of disease. This paper gives various techniques used by various authors to detect the disease fast an accurately. They used different types of segmentation techniques like region based, clustering, thresolding etc. to detect the infected part of the leaves and by using the classifier they classify the disease name. The traditional method of naked eye observation can be overcome by introducing these methods. Main focus of our work is to analysis of fast and accurate techniques to identify the plant diseases.

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Rice quality analysis using image processing techniques

International Conference for Convergence for Technology-2014 ◽

10.1109/i2ct.2014.7092300 ◽

2014 ◽

Cited By ~ 8

Author(s):

Bhagyashree Mahale ◽

Sapana Korde

Keyword(s):

Image Processing ◽

Quality Analysis ◽

Rice Quality ◽

Image Processing Techniques ◽

Processing Techniques

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Recent developments in the applications of image processing techniques for food quality evaluation

Trends in Food Science & Technology ◽

10.1016/j.tifs.2003.10.006 ◽

2004 ◽

Vol 15 (5) ◽

pp. 230-249 ◽

Cited By ~ 339

Author(s):

Cheng-Jin Du ◽

Da-Wen Sun

Keyword(s):

Image Processing ◽

Food Quality ◽

Quality Evaluation ◽

Image Processing Techniques ◽

Recent Developments ◽

Processing Techniques

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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