A pupil location algorithm based on cascaded Haar feature and OTSU dynamic threshold segmentation

2021 ◽  
Author(s):  
Fanxing Qian ◽  
Hao Lei
Keyword(s):  
Dynamic Threshold ◽  
Threshold Segmentation ◽  
Haar Feature ◽  
Location Algorithm

scholarly journals Dynamic threshold location algorithm based on fingerprinting method

ETRI Journal ◽  
2018 ◽  
Vol 40 (4) ◽  
pp. 531-536 ◽  
Author(s):  
Xuxing Ding ◽  
Bingbing Wang ◽  
Zaijian Wang
Keyword(s):  
Dynamic Threshold ◽  
Fingerprinting Method ◽  
Location Algorithm

Method to acquire regions of fruit, branch and leaf from image of red apple in orchard

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740039 ◽  
Author(s):  
Jidong Lv ◽  
Liming Xu
Keyword(s):  
Dynamic Threshold ◽  
Hole Filling ◽  
Threshold Segmentation ◽  
Segmented Image ◽  
Leaf Image ◽  
Rgb Image

This work proposed a method to acquire regions of fruit, branch and leaf from red apple image in orchard. To acquire fruit image, R-G image was extracted from the RGB image for corrosive working, hole filling, subregion removal, expansive working and opening operation in order. Finally, fruit image was acquired by threshold segmentation. To acquire leaf image, fruit image was subtracted from RGB image before extracting 2G-R-B image. Then, leaf image was acquired by subregion removal and threshold segmentation. To acquire branch image, dynamic threshold segmentation was conducted in the R-G image. Then, the segmented image was added to fruit image to acquire adding fruit image which was subtracted from RGB image with leaf image. Finally, branch image was acquired by opening operation, subregion removal and threshold segmentation after extracting the R-G image from the subtracting image. Compared with previous methods, more complete image of fruit, leaf and branch can be acquired from red apple image with this method.

The Segmentation Algorithm for Hand Vein Images Based on Improved Niback Algorithm

2012 ◽  
Vol 532-533 ◽  
pp. 1558-1562 ◽  
Author(s):  
Xiu Mei Guo ◽  
Wei Dong Zhou ◽  
Cheng Yi Wang
Keyword(s):  
Feature Extraction ◽  
Segmentation Algorithm ◽  
Dynamic Threshold ◽  
Local Dynamic ◽  
Threshold Segmentation ◽  
Hand Vein ◽  
The Common ◽  
Improved Algorithm

The local dynamic threshold segmentation algorithm, Niblack algorithm, is more suitable for hand vein images segmentation by comparing the common- used algorithms. But the traditional Niblack algorithm has weakness, so this paper proposed an improved Niblack algorithm in which the coefficient is adaptive estimated. The results show that the improved algorithm can better segment the hand vein outlines, preserve the vein original characteristics, and meet the needs of the follow-up feature extraction and recognition.

Sign in / Sign up

Export Citation Format

Share Document