The Design and Implementation of Plant Disease Spot Segmentation Algorithm Based on Improved CV Model

2019 ◽  
Author(s):  
Jingwei Liao ◽  
Mantao Wang ◽  
Zhouyu Tan ◽  
Weijun Gao ◽  
Yuchen Wang ◽  
...  
Keyword(s):  
Plant Disease ◽  
Segmentation Algorithm ◽  
Design And Implementation ◽  
Cv Model

scholarly journals Analysis of Glomerular Filtration Rate in Ischemic Cerebrovascular Diseases under the Magnetic Resonance Angiography Image Segmentation Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Ding ◽  
Yuebin Liu ◽  
Cong Peng ◽  
Huanmei Wang ◽  
Yuqin Xu ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Vessel Segmentation ◽  
Segmentation Algorithm ◽  
Arterial Stenosis ◽  
Blood Vessel Segmentation ◽  
Fuzzy Clustering Algorithm ◽  
Vessel Stenosis ◽  
Cv Model

In order to discuss the segmentation effect of the magnetic resonance angiography (MRA) image segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model and the prognostic value of glomerular filtration rate (GFR) in the ischemic cerebrovascular disease (ICVD), a total of 178 patients who were admitted to the hospital and received MRA due to ICVD were selected as the research objects of this study. Blood vessel segmentation was performed on the MRA image by fuzzy clustering algorithm and DR-CV model, and all patients were divided into a control group (group A), a single-vessel stenosis group (group B), a two-vessel stenosis group (group C), and a multiple-vessel stenosis group (group D). The GFR was estimated by using the dietary modification equation for kidney disease, and the correlation between GFR and the severity of arterial stenosis in patients with ICVD was analyzed. It was found that the results of the Dice similarity index (DSI) of the MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and the integrated model of boundary and regional information (DR-CV model) were all above 85%. The age and GFR values of the four groups of patients were significantly different ( P  < 0.05). The proportions of patients in groups C and D in the group with low DFR were significantly different from those in groups A and B ( P  < 0.01); the proportions of patients in groups A and B in the high-level GFR group had extremely significant differences compared with group D ( P  < 0.01). Age, GFR, total cholesterol (TC), and high-density lipoprotein-C (HDL-C) were correlated with the degree of arterial stenosis ( P  < 0.05). It showed that the segmentation effect of MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model was better, and the GFR level can be used as an independent risk factor for the ICVD.

Study Surveys on Image Segmentation of Plant Disease Spot

2012 ◽  
Vol 542-543 ◽  
pp. 1047-1050 ◽  
Author(s):  
Zhi Hua Diao ◽  
Yin Mao Song ◽  
Huan Wang ◽  
Yun Peng Wang
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Plant Disease ◽  
Future Trend ◽  
Segmentation Algorithm ◽  
Open Problems ◽  
Fundamental Component ◽  
Different Characteristics

Segmentation is a fundamental component of many image-processing applications. Various algorithms were proposed so far for segmentation of plant disease images. The researchers raised some corresponding solutions to different characteristics of disease spot, and these algorithms are continually improved to enhance the speed and veracity. Based on current progress, this paper gives a study on the image segmentation classification. In addition, this article also makes a comprehensive expatiation on how to solve the problem of plant disease spot by using image segmentation techniques. In the end, open problems and future trend of segmentation algorithm were discussed.

scholarly journals Research on Interactive Visual Communication Design System Based on Dynamic Image

2022 ◽  
Vol 2146 (1) ◽  
pp. 012029
Author(s):  
Runping Lai
Keyword(s):  
Image Segmentation ◽  
Original Model ◽  
Segmentation Algorithm ◽  
Design System ◽  
Sar Image ◽  
Effect Analysis ◽  
Dynamic Image ◽  
Visual Communication Design ◽  
Communication Design ◽  
Cv Model

Abstract The SVR image marine-continental segmentation algorithm on account of ameliorated CV model can segment the marine-continental image efficiently, and compare the image results with the original model, so as to continuously iterate the effectiveness of image segmentation. On account of this, this paper first analyses the concept and main methods of SAR image marine-continental segmentation algorithm, then studies the SAR image marine-continental segmentation algorithm on account of ameliorated CV model, and finally gives the process and effect analysis of SAR image marine-continental segmentation on account of ameliorated CV model.

Use of TEM in Plant Disease Diagnosis: A Xylem-Limited Bacterium Associated with Diseased ‘Toronto’ Creeping Bentgrass

1981 ◽  
Vol 39 ◽  
pp. 414-415
Author(s):  
Karen K. Baker ◽  
David L. Roberts
Keyword(s):  
Osmium Tetroxide ◽  
Plant Disease ◽  
Leaf Tissue ◽  
Infectious Agent ◽  
Creeping Bentgrass ◽  
Disease Diagnosis ◽  
Unknown Etiology ◽  
Agrostis Palustris ◽  
Putting Greens ◽  
Plant Disease Diagnosis

Plant disease diagnosis is most often accomplished by examination of symptoms and observation or isolation of causal organisms. Occasionally, diseases of unknown etiology occur and are difficult or impossible to accurately diagnose by the usual means. In 1980, such a disease was observed on Agrostis palustris Huds. c.v. Toronto (creeping bentgrass) putting greens at the Butler National Golf Course in Oak Brook, IL.The wilting symptoms of the disease and the irregular nature of its spread through affected areas suggested that an infectious agent was involved. However, normal isolation procedures did not yield any organism known to infect turf grass. TEM was employed in order to aid in the possible diagnosis of the disease.Crown, root and leaf tissue of both infected and symptomless plants were fixed in cold 5% glutaraldehyde in 0.1 M phosphate buffer, post-fixed in buffered 1% osmium tetroxide, dehydrated in ethanol and embedded in a 1:1 mixture of Spurrs and epon-araldite epoxy resins.

AAC Considerations for Individuals With Angelman Syndrome

2015 ◽  
Vol 24 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Stephen N. Calculator
Keyword(s):  
Angelman Syndrome ◽  
Augmentative And Alternative Communication ◽  
High Tech ◽  
Alternative Communication ◽  
Design And Implementation

Purpose To provide an overview of communication characteristics exhibited by individuals with Angelman Syndrome (AS) and special considerations associated with the design and implementation of augmentative and alternative communication (AAC) programs. Method Results of recent studies exploring individuals' uses of AAC are reviewed, with particular emphasis on factors related to individuals' acceptance and successful uses of AAC systems. Results Not applicable Conclusion Despite their inconsistent access to practices previously found to foster individuals' acceptance of AAC systems, individuals with AS demonstrate the ability to use AAC systems, including high-tech AAC devices, successfully.

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