scholarly journals Nutritional Values of Fruit through Image Processing

Author(s):  
Prof. Shital P. Dongre

Health is the most important aspect of any human being. With the increasing pace of life, the focus on health was decreasing. This has created a wide number of problems like obesity, diabetes, hypertension, etc. Fruits contain a major source of energy, vitamin, nutrients which should be the vital part of diet. This paper presents a nutrition measurement system which calculates the precise quantity of moisture, protein, fiber, carbohydrates and fats present in the fruit. The system works without any complex hardware and weighing scale. It calculates the precise mass of fruit using two images digital images of the same fruit.

2021 ◽  
Vol 1088 (1) ◽  
pp. 012049
Author(s):  
Nor Salwa Damanhuri ◽  
Mohammad Faiz Mohammad Zamri ◽  
Nor Azlan Othman ◽  
Sarah Addyani Shamsuddin ◽  
Belinda Chong Chiew Meng ◽  
...  

Author(s):  
Kalyan Kumar Jena ◽  
Sasmita Mishra ◽  
Sarojananda Mishra

Research in the field of digital image processing (DIP) has increased in the current scenario. Edge detection of digital images is considered as an important area of research in DIP. Detecting edges in different digital images accurately is a challenging work in DIP. Different methods have been introduced by different researchers to detect the edges of images. However, no method works well under all conditions. In this chapter, an edge detection method is proposed to detect the edges of gray scale and color images. This method focuses on the combination of Canny, mathematical morphological, and Sobel (CMS) edge detection operators. The output of the proposed method is produced using matrix laboratory (MATLAB) R2015b and compared with Sobel, Prewitt, Roberts, Laplacian of Gaussian (LoG), Canny, and mathematical morphological edge detection operators. The experimental results show that the proposed method works better as compared to other existing methods in detecting the edges of images.


1992 ◽  
Vol 68 (1) ◽  
pp. 138-141 ◽  
Author(s):  
Régent Guay ◽  
Réjean Gagnon ◽  
Hubert Morin

A new automatic tree ring measurement system which uses computerized image processing and analysis techniques is presented. It is based on a line scan camera instead of a conventional TV camera so it can give high resolution images over long paths (many centimeters). On-line ring validation is possible by comparison with those on other radii. Also, the system is highly interactive so its decisions can be modified by the operator.


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