Surface-reflection elimination in polarization imaging of superficial tissue

Morgan, Stephen P.; Stockford, Ian M.

doi:10.1364/ol.28.000114

Cited by 95 publications

(86 citation statements)

References 10 publications

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“…So far, most of the relevant studies have focused on using polarization gating to reject surface glare for probing deep tissue [2][3][4], or to selectively detect photons from superficial layers [5]. On the other hand, using polarization responses as contrast mechanisms has not been well studied in the context of imaging.…”

Section: Introductionmentioning

confidence: 99%

Expression of target optical properties in subsurface polarization-gated imaging

Nothdurft¹,

Yao²

2005

Opt. Express

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Abstract:We examined the expression of target optical properties in subsurface polarization imaging under linearly and circularly polarized illumination. Reflecting, scattering, and absorption targets were imaged in tissue mimic phantoms. The polarization gated images were compared with raw and unpolarized images to determine image enhancement as a function of target depth. The experimental results were also compared with MonteCarlo simulations to study the model's applicability. Our results indicated that polarization imaging provided a means to separate different optical targets where they would otherwise appear similar under unpolarized light.

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Section: Introductionmentioning

confidence: 99%

Expression of target optical properties in subsurface polarization-gated imaging

Nothdurft¹,

Yao²

2005

Opt. Express

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“…This method works well for flat objects but in the case of spherical samples like citrus fruit most of the surface is curved and hence not perpendicular to the camera, thus causing glares at particular angles between the surface and the camera. For these cases, it is recommendable to use very diffuse light or polarising filters (Morgan and Stockford, 2003). However, in some exceptional cases a particular reflection of the light is needed such as, for instance, to measure the texture or roughness of the surface, which was investigated by Jafary et al (2014) as indirect estimation of the thickness of the peel.…”

Section: Principles Of Electronic Sortersmentioning

confidence: 99%

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

Cubero

Lee

Albert

et al. 2016

Food Bioprocess Technol

102

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Computer vision systems are becoming a scientific but also a commercial tool for food quality assessment. In the field, these systems can be used to predict yield, as well as for robotic harvesting or the early detection of potentially dangerous diseases. In postharvest handling, it is mostly used for the automated inspection of the external quality of the fruits and for sorting them into commercial categories at very high speed. More recently, the use of hyperspectral imaging is allowing not only the detection of defects in the skin of the fruits but also their association to certain diseases of particular importance. In the research works that use this technology, wavelengths that play a significant role in detecting some of these dangerous diseases are found, leading to the development of multispectral imaging systems that can be used in industry. This article reviews recent works that use colour and non-standard computer vision systems for the automated inspection of citrus. It explains the different technologies available to acquire the images and their use for the non-destructive inspection of internal and external features of these fruits. Particular attention is paid to inspection for the early detection of some dangerous diseases like citrus canker, black spot, decay or citrus Huanglongbing.

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“…Based on the gained insight into depolarization properties of multiply scattered light in tissue simulating phantoms and in actual tissues, several research groups have explored polarization gating for imaging of tissue and its underlying structures [49][50][51][52]. Various polarization gating schemes and imaging strategies have been investigated for this purpose.…”

Section: Polarized Light Imaging Of Tissuementioning

confidence: 99%

“…Morgan and Stockford [51] developed an elegant polarization scheme for eliminating surface reflection in backscattering imaging of superficial tissue layers. They have used a combination of images acquired using linearly and circularly polarized light to filter out simultaneously the surface reflections and the multiply scattered photons (from deeper tissue layer) and to extract the weakly scattered photons from superficial tissue layer.…”

Section: Polarized Light Imaging Of Tissuementioning

confidence: 99%

“…For fluorescence spectra recorded at larger Δθ, the deeper connective tissue layer (stroma) is probed. The corresponding spectra show strong signature of collagen and elastin (characteristic peak at ∼400 nm [50,51]) present in that layer. Note that polarized fluorescence spectra (recorded at varying Δθ) shown in the figure were normalized by the corresponding elastic scattering spectra recorded under the same condition.…”

Section: -P17mentioning

confidence: 99%

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Turbid medium polarimetry in biomedical imaging and diagnosis

Ghosh

Banerjee

Soni

2011

Eur. Phys. J. Appl. Phys.

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Abstract. Studies on polarization properties of scattered light from a random medium like biological tissue have received considerable attention because polarization can be used as an effective tool to discriminate against multiply scattered light (acting as a gating mechanism) and thus can facilitate high resolution imaging through tissue. Further, the polarization properties of scattered light from tissue contain wealth of morphological and functional information of potential biomedical importance. However, in a complex random medium like tissue, numerous complexities due to multiple scattering and simultaneous occurrences of many scattering and polarization events present formidable challenges both in terms of accurate measurements and in terms of analysis of the tissue polarimetry signal. Several studies have therefore been conducted in the recent past to develop appropriate measurement procedures, suitable light propagation models and polarimetry signal analysis methods to overcome these difficulties. In this review, we focus on some of the recent key developments in this area. Specifically, we describe variety of theoretical and experimental tools, illustrated with selected results, aimed at evaluating the prospect of turbid medium polarimetry for both biomedical imaging and diagnosis.

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Surface-reflection elimination in polarization imaging of superficial tissue

Cited by 95 publications

References 10 publications

Expression of target optical properties in subsurface polarization-gated imaging

Expression of target optical properties in subsurface polarization-gated imaging

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

Turbid medium polarimetry in biomedical imaging and diagnosis

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