3d Surface Modeling With Stereovision

Hryniewicz, M.; Sotome, I.; Anthonis, J.; Ramón, Héctor Moreno; Baerdemaeker, J. De

doi:10.17660/actahortic.2005.674.73

Cited by 4 publications

(4 citation statements)

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“…6.5.3. Discussion Hryniewicz et al (2005) obtained satisfactory results with their stereovision desktop system, using the assumption of circular fruit or vegetable cross-section. The performance of the system would be expected to be less good with produce that is elliptical in cross section, such as many kiwifruits, some cultivars of apple, and mangoes.…”

Section: Active 3-d Machine Vision Techniquesmentioning

confidence: 97%

“…Therefore, the difficulty in finding matching points between the stereopair of images is one of the main challenges for application of stereovision to biological produce inspection. Hryniewicz et al (2005) used stereovision for the 3-D shape modeling of carrots and other horticultural produce with circular cross-sections using a desktop setup comprised of two internet-connected cameras (webcams) and a slide projector as the light source. Their fruit surface reconstruction was based on extruding a circular cross-section perpendicularly to a 3-D curve.…”

Section: Passive 3-d Machine Vision Techniquesmentioning

confidence: 99%

“…Iwamoto and Chuma (1981), Fon et al (1990), Chen et al (1992), Hahn (2002) Miller (1993, Laing et al (1995) Sarkar and Wolfe (1985), Marchant et al (1989), Marchant (1990), Miller (1990), Aleixos (1999), Forbes and Tattersfield (1999b), Bato et al (2000), Forbes (2000), Aleixos et al (2002), Sabliov et al (2002), Blasco et al (2003), etc. Hryniewicz et al (2005), Sun et al (2007) Chalidabhongse et al (2006, Imou et al (2006), Lee et al (2006) Chen et al (1989, Sakai and Yonekawa (1992), Thomson and Pomeranz (1991), Hatou et al (1996), Lee et al (2001) tested with the air pycnometer, cannot be measured using the ultrasonic inverted tripod.…”

Section: Tablementioning

confidence: 99%

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Non-destructive technologies for fruit and vegetable size determination – A review

Moreda

Ortiz-Cañavate

García-Ramos

et al. 2009

Journal of Food Engineering

138

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Here, we review different methods for non-destructive horticultural produce size determination, focusing on electronic technologies capable of measuring fruit volume.The usefulness of produce size estimation is justified and a comprehensive classification system of the existing electronic techniques to determine dimensional size is proposed.The different systems identified are compared in terms of their versatility, precision and throughput. There is general agreement in considering that online measurement of axes, perimeter and projected area has now been achieved. Nevertheless, rapid and accurate volume determination of irregular-shaped produce, as needed for density sorting, has only become available in the past few years. An important application of density measurement is soluble solids content (SSC) sorting. If the range of SSC in the batch is narrow and a large number of classes are desired, accurate volume determination becomes important. A good alternative for fruit three-dimensional surface reconstruction, from which volume and surface area can be computed, is the combination of height profiles from a range sensor with a two-dimensional object image boundary from a solid-state camera (brightness image) or from the range sensor itself (intensity image). However, one of the most promising technologies in this field is 3-D multispectral scanning, which combines multispectral data with 3-D surface reconstruction.

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Section: Active 3-d Machine Vision Techniquesmentioning

confidence: 97%

Section: Passive 3-d Machine Vision Techniquesmentioning

confidence: 99%

Section: Tablementioning

confidence: 99%

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Non-destructive technologies for fruit and vegetable size determination – A review

Moreda

Ortiz-Cañavate

García-Ramos

et al. 2009

Journal of Food Engineering

138

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show abstract

“…Fruit shape determination is of interest for several commercial reasons, including elimination of ill-shaped fruits and fruit damages which are located on non-flat fruit surfaces (Hryniewicz et al, 2005). Moreover, misshapen fruits such as pear-shaped grapefruit are often considered defective (Syvertsen et al, 2005).…”

Section: Size and Shapementioning

confidence: 99%

Sensors for product characterization and quality of specialty crops—A review

Ruiz-Altisent

Ruiz-García

Moreda

et al. 2010

Computers and Electronics in Agriculture

192

112

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a b s t r a c tThis review covers developments in non-invasive techniques for quality analysis and inspection of specialty crops, mainly fresh fruits and vegetables, over the past decade up to the year 2010. Presented and discussed in this review are advanced sensing technologies including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, chemical sensing, wireless sensor networks and radiofrequency identification sensors. The current status of different sensing systems is described in the context of commercial application. The review also discusses future research needs and potentials of these sensing technologies. Emphases are placed on those technologies that have been proven effective or have shown great potential for agro-food applications. Despite significant progress in the development of non-invasive techniques for quality assessment of fruits and vegetables, the pace for adoption of these technologies by the specialty crop industry has been slow.

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