{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:43:54Z","timestamp":1775022234603,"version":"3.50.1"},"reference-count":24,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,1,29]],"date-time":"2016-01-29T00:00:00Z","timestamp":1454025600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Automatic recognition of mature fruits in a complex agricultural environment is still a challenge for an autonomous harvesting robot due to various disturbances existing in the background of the image. The bottleneck to robust fruit recognition is reducing influence from two main disturbances: illumination and overlapping. In order to recognize the tomato in the tree canopy using a low-cost camera, a robust tomato recognition algorithm based on multiple feature images and image fusion was studied in this paper. Firstly, two novel feature images, the  a*-component image and the I-component image, were extracted from the L*a*b* color space and luminance, in-phase, quadrature-phase (YIQ) color space, respectively. Secondly, wavelet transformation was adopted to fuse the two feature images at the pixel level, which combined the feature information of the two source images. Thirdly, in order to segment the target tomato from the background, an adaptive threshold algorithm was used to get the optimal threshold. The final segmentation result was processed by morphology operation to reduce a small amount of noise. In the detection tests, 93% target tomatoes were recognized out of 200 overall samples. It indicates that the proposed tomato recognition method is available for robotic tomato harvesting in the uncontrolled environment with low cost.<\/jats:p>","DOI":"10.3390\/s16020173","type":"journal-article","created":{"date-parts":[[2016,1,29]],"date-time":"2016-01-29T09:58:48Z","timestamp":1454061528000},"page":"173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion"],"prefix":"10.3390","volume":"16","author":[{"given":"Yuanshen","family":"Zhao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Liang","family":"Gong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Yixiang","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Chengliang","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"480","DOI":"10.4028\/www.scientific.net\/AMM.442.480","article-title":"Research on key technology of truss tomato harvesting robot in greenhouse","volume":"442","author":"Ji","year":"2014","journal-title":"Appl. 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Eng."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.biosystemseng.2006.07.004","article-title":"Robot design and testing for greenhouse applications","volume":"95","author":"Belforte","year":"2006","journal-title":"Biosyst. Eng."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.biosystemseng.2009.09.011","article-title":"Evaluation of a strawberry-harvesting robot in a field","volume":"105","author":"Hayashi","year":"2010","journal-title":"Biosyst. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1007\/978-3-540-75404-6_51","article-title":"Autonomous fruit picking machine: A robotic apple harvester","volume":"42","author":"Johan","year":"2008","journal-title":"Field Serv. Robot."},{"key":"ref_8","first-page":"1","article-title":"Analysis of a motion planning problem for sweet-pepper harvesting in a dense obstacle environment","volume":"135","author":"Bac","year":"2015","journal-title":"Biosyst. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.biosystemseng.2013.07.017","article-title":"Stability tests of two-finger tomato grasping for harvesting robots","volume":"116","author":"Li","year":"2013","journal-title":"Biosyst. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.biosystemseng.2011.07.005","article-title":"Design and control of an apple harvesting robot","volume":"110","author":"Zhao","year":"2011","journal-title":"Biosyst. Eng."},{"key":"ref_11","first-page":"168","article-title":"Tomato targets extraction and matching based on computer vision","volume":"28","author":"Li","year":"2012","journal-title":"Trans. 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Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.proeng.2011.11.2514","article-title":"Review on fruit harvesting method for potential use of automatic fruit harvesting systems","volume":"23","author":"Li","year":"2011","journal-title":"Procedia Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.compag.2008.01.018","article-title":"Cherry-harvesting robot","volume":"63","author":"Tankgaki","year":"2008","journal-title":"Comput. Electr. Agric."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.compag.2009.02.004","article-title":"Green citrus detection using hyperspectral imaging","volume":"66","author":"Okamoto","year":"2009","journal-title":"Comput. Electr. Agric."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.biosystemseng.2008.08.002","article-title":"Study on temporal variation in citrus canopy using thermal imaging for citrus fruit detection","volume":"101","author":"Bulanon","year":"2008","journal-title":"Biosyst. Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.biosystemseng.2009.02.009","article-title":"Image fusion of visible and thermal images for fruit detection","volume":"103","author":"Bulanon","year":"2009","journal-title":"Biosyst. Eng."},{"key":"ref_20","first-page":"73","article-title":"Fruit Recognition Algorithm Based on Multi-source Images Fusion","volume":"45","author":"Feng","year":"2014","journal-title":"Trans. CSAM"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5120\/1756-2395","article-title":"Fruit Detection using improved Multiple Features based Algorithm","volume":"13","author":"Hetal","year":"2011","journal-title":"IJCA"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.11591\/telkomnika.v10i7.1574","article-title":"Ripe fuji apple detection model analysis in natural tree canopy","volume":"10","author":"Huang","year":"2012","journal-title":"Telkomnika"},{"key":"ref_23","first-page":"200","article-title":"Object extraction for the vision system of tomato picking robot","volume":"37","author":"Zhao","year":"2006","journal-title":"Trans. CSAM"},{"key":"ref_24","first-page":"1144","article-title":"Recognition and localization of ripen tomato based on machine vision","volume":"5","author":"Arman","year":"2011","journal-title":"Aust.J. 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