scholarly journals Correction to: Edge Enhancement by Noise Suppression in HSI Color Model of UAV Video with Adaptive Thresholding

2022 ◽  
Author(s):  
Ashish Srivastava ◽  
Jay Prakash
Keyword(s):  
Noise Suppression ◽  
Adaptive Thresholding ◽  
Color Model ◽  
Edge Enhancement ◽  
Hsi Color Model

scholarly journals A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3583 ◽  
Author(s):  
Shiping Ma ◽  
Hongqiang Ma ◽  
Yuelei Xu ◽  
Shuai Li ◽  
Chao Lv ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Color Space ◽  
Color Model ◽  
Low Light ◽  
Image Brightness ◽  
Low Contrast ◽  
Light Sensor ◽  
Hsi Color Model ◽  
Art Research ◽  
Enhancement Algorithm

Images captured by sensors in unpleasant environment like low illumination condition are usually degraded, which means low visibility, low brightness, and low contrast. In order to improve this kind of images, in this paper, a low-light sensor image enhancement algorithm based on HSI color model is proposed. At first, we propose a dataset generation method based on the Retinex model to overcome the shortage of sample data. Then, the original low-light image is transformed from RGB to HSI color space. The segmentation exponential method is used to process the saturation (S) and the specially designed Deep Convolutional Neural Network is applied to enhance the intensity component (I). At the end, we back into the original RGB space to get the final improved image. Experimental results show that the proposed algorithm not only enhances the image brightness and contrast significantly, but also avoids color distortion and over-enhancement in comparison with some other state-of-the-art research papers. So, it effectively improves the quality of sensor images.

scholarly journals Mean-Based Breakpoint Selection on Circular Histogram

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiulun Fan ◽  
Jipeng Yang
Keyword(s):  
Selection Criteria ◽  
Color Image ◽  
Selection Criterion ◽  
Threshold Value ◽  
Simple Expression ◽  
Circular Data ◽  
Cumulative Distribution ◽  
Color Model ◽  
Hsi Color Model ◽  
Selection Of

Circular histogram represents the statistical distribution of circular data; the H component histogram of HSI color model is a typical example of the circular histogram. When using H component to segment color image, a feasible way is to transform the circular histogram into a linear histogram, and then, the mature gray image thresholding methods are used on the linear histogram to select the threshold value. Thus, the reasonable selection of the breakpoint on circular histogram to linearize the circular histogram is the key. In this paper, based on the angles mean on circular histogram and the line mean on linear histogram, a simple breakpoint selection criterion is proposed, and the suitable range of this method is analyzed. Compared with the existing breakpoint selection criteria based on Lorenz curve and cumulative distribution entropy, the proposed method has the advantages of simple expression and less calculation and does not depend on the direction of rotation.

Computer Vision Based Orange Grading Using SVM

2013 ◽  
Vol 303-306 ◽  
pp. 1134-1138 ◽  
Author(s):  
Zhi Bin Pan ◽  
Xiao Yan Wei
Keyword(s):  
Computer Vision ◽  
Support Vector Machine ◽  
Experimental Result ◽  
Support Vector ◽  
Color Model ◽  
Fruit Grading ◽  
Hsi Color Model ◽  
Four Levels ◽  
Additional Value

Fruit grading is very important for promoting its additional value. We graded oranges based on its images. Four photos were taken from different view angles for each orange. Both RGB and HSI color model were utilized. We extracted a 28-dimensional feature which can describe the size and color of them. Then support vector machine was used to grade these oranges into four levels. Experimental result shows SVM has promising performance for orange grading.

High-speed 3D profilometry employing HSI color model for color surface with discontinuities

2017 ◽  
Vol 96 ◽  
pp. 81-87 ◽  
Author(s):  
Wei Yin ◽  
Xiaosheng Cheng ◽  
Jieru Xie ◽  
Haihua Cui ◽  
Yingying Chen
Keyword(s):  
High Speed ◽  
Color Model ◽  
3D Profilometry ◽  
Hsi Color Model

scholarly journals Measuring Leaf Area in Soy Plants by HSI Color Model Filtering and Mathematical Morphology

2011 ◽  
Vol 332 ◽  
pp. 012034 ◽  
Author(s):  
M Benalcázar ◽  
J Padín ◽  
M Brun ◽  
J Pastore ◽  
V Ballarin ◽  
...  
Keyword(s):  
Leaf Area ◽  
Mathematical Morphology ◽  
Color Model ◽  
Hsi Color Model
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