A Beginner’s Guide to Image Shape Feature Extraction Techniques

2019 ◽  
Author(s):  
Jyotismita Chaki ◽  
Nilanjan Dey
Keyword(s):  
Feature Extraction ◽  
Shape Feature ◽  
Extraction Techniques ◽  
Image Shape ◽  
Shape Feature Extraction

scholarly journals An Improved Automatic Shape Feature Extraction Method Based on Template Matching

2021 ◽  
Vol 2095 (1) ◽  
pp. 012053
Author(s):  
Xiaoqi Wang ◽  
Jian Zhang
Keyword(s):  
Feature Extraction ◽  
Template Matching ◽  
Extraction Method ◽  
Traditional Approach ◽  
Color Space ◽  
Shape Feature ◽  
Feature Extraction Method ◽  
Noise Interference ◽  
Image Shape ◽  
Shape Feature Extraction

Abstract Image shape extraction is an important step in the image analysis, AI electronic industry and automation, as well as a significant part of content-based image retrieval(CBIR), which cannot be separated from contour extraction. However, traditional approach of the border following algorithm is susceptible to noise interference, thus the shape extracted is always complex in real images and cannot express feature of the target image well. Therefore, an improved shape feature extraction method is proposed, which converts color space into HSV model when preprocessing, filters contour by area size, merges adjacent contours by drawing convex hull and filters with template shapes. Lastly, this method is tested on UAV123 and YCB_Video dataset, which showed that the proportion of valid contour improved from less than 10% to 87.7% based on border following algorithm. In the experiment of OPenCV open source library in Visual Studio environment, we hope to improve the extraction efficiency of shape features.

scholarly journals Shape Feature Extraction Techniques for Fruits: A Review

2021 ◽  
pp. 2425-2430
Author(s):  
Israa Mohammed Hassoon
Keyword(s):  
Feature Extraction ◽  
Food Industry ◽  
Automated System ◽  
Shape Feature ◽  
Extraction Techniques ◽  
Quality Estimation ◽  
Advantages And Disadvantages ◽  
Quality Of Food ◽  
Shape Feature Extraction

          Fruits sorting, recognizing, and classifying are essential post-harvest operations, as they contribute to the quality of food industry, thereby increasing the exported quantity of food. Today, an automated system for fruit classification and recognition is very important, especially when exporting to markets where quality of fruit must be high. In this study, the advantages and disadvantages of the various shape-based feature extraction algorithms and technologies that are used in sorting, classifying, and grading of fruits, as well as fruits quality estimation, are discussed in order to provide a good understanding of the use of shape-based feature extraction techniques.

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