Discrimination of strawberry shape using image processing (part 1) -measurement method for fruit direction-

Osamu Kinoshita; Masateru Nagata

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Discrimination of strawberry shape using image processing (part 1) -measurement method for fruit direction-

机译：使用图像处理识别草莓形状（第1部分）-水果方向的测量方法-

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Methods of measuring the orientation of fruit were studied in order to distinguish strawberry shape automatically using image processing. Three methods using the feature that can be calculated by the general image processing software were compared and examined in order to select the most effective one. The "method of center of gravity" was found to be superior to the other two methods. The measurement difference in the orientation of fruit was approximately 10 degrees between this method and humanjudgement. It is considered that the method can appropriately measure the shape of fruit, regardless of the orientation of the fruit.

机译：研究了测量水果方向的方法，以便使用图像处理自动区分草莓形状。为了选择最有效的方法，比较并研究了三种可以使用一般图像处理软件计算出的功能的方法。发现“重心方法”优于其他两种方法。该方法与人为判断之间，水果方向的测量差异约为10度。认为该方法可以适当地测量水果的形状，而不管水果的取向如何。

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《配管·装置·プラント技術》 |1999年第5期|共8页
作者
Osamu Kinoshita; Masateru Nagata;
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正文语种 jpn
中图分类管道运输;
关键词
Image processing; Strawberry; Shape; Discrimination; Fruit; Direction; Feature;

机译：图像处理;草莓;形状;辨别力;水果;方向;特征;

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1. Discrimination of strawberry shape using image processing (part 1) -measurement method for fruit direction- [J] . Osamu Kinoshita, Masateru Nagata 配管·装置·プラント技術 . 1999,第5期

机译：使用图像处理识别草莓形状（第1部分）-水果方向的测量方法-
2. Discrimination of strawberry shape using image processing (part 3) --selection for feature [J] . Osamu Kinoshita, Masateru Nagata 配管·装置·プラント技術 . 1999,第6期

机译：使用图像处理区分草莓形状（第3部分）-特征选择
3. Discrimination of strawberry shape using image processing (part2) --proposition for feature [J] . Osamu Kinoshita, Masateru Nagata 配管·装置·プラント技術 . 1999,第6期

机译：使用图像处理区分草莓形状（第2部分）-特征命题
4. Optimization of the CTAB3-LiCl and commercial kit methods in the process of RNA isolation and amplification in strawberries fruit (Fragaria spp.) [C] . Ganies Riza Aristya, Chalvia Zuyyina, Galang Riswi Dyatama, International Conference on Biological Science . 2020

机译：CTAB3-LICL和商业试剂盒方法在草莓果实RNA分离和扩增过程中的优化（Fragaria SPP。）
5. THE DEVELOPMENT OF AN AUTOMATED MEASUREMENT METHOD FOR THREE-DIMENSIONAL MEAN FLOW FIELDS (MIXING, IMAGE PROCESSING). [D] . CHANG, THOMAS PING-KANG. 1983

机译：三维平均流场（混合，图像处理）自动测量方法的发展。
6. Strawberry fruit shape: quantification by image analysis and QTL detection by genome-wide association analysis [O] . Shiro Nagamatsu, Masao Tsubone, Takuya Wada, 2021

机译：草莓果实形状：通过图像分析和基因组关联分析量化和QTL检测
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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8. Multilevel-Multiresolution Method for Image Processing. A Bayesian Framework forReconstructing and Representing Shapes [R] . Gidas, B. 1993

机译：多级多分辨率图像处理方法。重构和表示形状的贝叶斯框架

Discrimination of strawberry shape using image processing (part 1) -measurement method for fruit direction-

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