Automatic detection and counting of rice planthoppers in paddy fields by image processing methods

2016 ◽  
Author(s):  
Qing Yao
Keyword(s):  
Image Processing ◽  
Automatic Detection ◽  
Paddy Fields ◽  
Processing Methods ◽  
Rice Planthoppers ◽  
Detection And Counting

scholarly journals Automated Counting of Rice Planthoppers in Paddy Fields Based on Image Processing

2014 ◽  
Vol 13 (8) ◽  
pp. 1736-1745 ◽  
Author(s):  
Qing YAO ◽  
Ding-xiang XIAN ◽  
Qing-jie LIU ◽  
Bao-jun YANG ◽  
Guang-qiang DIAO ◽  
...  
Keyword(s):  
Image Processing ◽  
Paddy Fields ◽  
Rice Planthoppers

scholarly journals Android-based automatic detection and measurement system of highway billboard for tax calculation in indonesia

2019 ◽  
Vol 14 (2) ◽  
pp. 877 ◽  
Author(s):  
Romi Fadillah Rahmat ◽  
Sarah Purnamawati ◽  
Handra Saito ◽  
Muhammad Fariz Ichwan ◽  
Tri Murti Lubis
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Image Acquisition ◽  
Automatic Detection ◽  
Measurement Process ◽  
Distance Method ◽  
Processing Methods ◽  
Distance Calculation ◽  
The Government ◽  
Point Distance

<span>Billboards are objects, tools or actions, which based on the characteristics serve its own purpose to earn profits, advertise certain people or service, and to draw public’s attention by placing it in a very strategic place. It has led the government to charge tax on billboards based on its location, dimensions, and viewpoints. Therefore, authorized parties have to be able to ensure the data authenticity of the proposed billboards. One of the obstacles in data verification is the time of billboards measurement process due to its size and height from the ground, based on this problem, and we developed a system which can measure the dimensions of billboards without physically touching it by implementing image processing methods to identify the billboards. The implementation is by measuring the dimensions of the billboards using perspective concept, then calculates the distance between the camera and the object using two-point distance calculation GPS coordinates. The results showed that the distance calculation using the GPS method generated inaccurate values, whereas the systematic distance method generated a result of errors’ range from 0.5 to 25 cm if the image acquisition is performed nearly perpendicular to the object.</span>

scholarly journals Defect Detection Techniques for Airbag Production Sewing Stages

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Raluca Brad ◽  
Lavinia Barac ◽  
Remus Brad
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Defect Detection ◽  
Automatic Detection ◽  
Color Pattern ◽  
Processing Methods ◽  
Detection Techniques ◽  
Sewing Thread ◽  
Detection Of Defects

Airbags are subjected to strict quality control in order to ensure passengers safety. The quality of fabric and sewing thread influences the final product and therefore, sewing defects must be early and accurately detected, in order to remove the item from production. Airbag seams assembly can take various forms, using linear and circle primitives, with threads of different colors and length densities, creating lockstitch or double threads chainstitch. The paper presents a framework for the automatic detection of defects occurring during the airbag sewing stage. Types of defects as skipped stitch, missed stitch, or superimposed seam for lockstitch and two threads chainstitch are detected and marked. Using image processing methods, the proposed framework follows the seams path and determines if a color pattern of the considered stitches is valid.

Comparison of Different Image Processing Methods with Spatial Information in Clinical Brain MRI

2020 ◽  
Author(s):  
Iza Sazanita Isa ◽  
Mohamad Khairul Faizi Mat Saad ◽  
Muhammad Haris Khusairi Mohmad Kadir ◽  
Ahmad Afifi Ahmad Afandi ◽  
Noor Khairiah A. Karim ◽  
...  
Keyword(s):  
Image Processing ◽  
Spatial Information ◽  
Brain Mri ◽  
Processing Methods

scholarly journals Image Processing Methods of LANDSAT TM Data for Lineament Analysis

1989 ◽  
Vol 1989 (14B) ◽  
pp. 25-39
Author(s):  
Katsuaki KOIKE ◽  
Hiroyuki ITOH ◽  
Michito OHMI
Keyword(s):  
Image Processing ◽  
Landsat Tm ◽  
Processing Methods ◽  
Lineament Analysis

scholarly journals Fast Transforms in Image Processing: Compression, Restoration, and Resampling

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
Leonid P. Yaroslavsky
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Image Restoration ◽  
Compressive Sensing ◽  
Adaptive Filters ◽  
Processing Methods ◽  
Fast Transforms ◽  
Image Transforms

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years. References are made to both first publications of the corresponding results and more recent and more easily available ones. The review has a tutorial character and purpose.

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