Estimation of the number of biophotons involved in the visual perception of a single-object image: Biophoton intensity can be considerably higher inside cells than outside

Visual perception starts with localized filters that subdivide the image into fragments that undergo separate analyses. The visual system has to reconstruct objects by grouping image fragments that belong to the same object. A widely held view is that perceptual grouping occurs in parallel across the visual scene and without attention. To test this idea, we measured the speed of grouping in pictures of animals and vehicles. In a classification task, these pictures were categorized efficiently. In an image-parsing task, participants reported whether two cues fell on the same or different objects, and we measured reaction times. Despite the participants’ fast object classification, perceptual grouping required more time if the distance between cues was larger, and we observed an additional delay when the cues fell on different parts of a single object. Parsing was also slower for inverted than for upright objects. These results imply that perception starts with rapid object classification and that rapid classification is followed by a serial perceptual grouping phase, which is more efficient for objects in a familiar orientation than for objects in an unfamiliar orientation.

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A Comparative Analysis of the Zernike Moments for Single Object Retrieval

Baghdad Science Journal ◽

10.21123/bsj.2019.16.2(si).0504 ◽

2019 ◽

Vol 16 (2(SI)) ◽

pp. 0504 ◽

Cited By ~ 2

Author(s):

Abu Bakar Et al.

Keyword(s):

Image Retrieval ◽

Shape Representation ◽

Outer Boundary ◽

Zernike Moments ◽

Zernike Moment ◽

Experimental Investigations ◽

Object Image ◽

Single Object ◽

Object Retrieval ◽

Object Shape

Zernike Moments has been popularly used in many shape-based image retrieval studies due to its powerful shape representation. However its strength and weaknesses have not been clearly highlighted in the previous studies. Thus, its powerful shape representation could not be fully utilized. In this paper, a method to fully capture the shape representation properties of Zernike Moments is implemented and tested on a single object for binary and grey level images. The proposed method works by determining the boundary of the shape object and then resizing the object shape to the boundary of the image. Three case studies were made. Case 1 is the Zernike Moments implementation on the original shape object image. In Case 2, the centroid of the shape object image in Case 1 is relocated to the center of the image. In Case 3, the proposed method first detect the outer boundary of the shape object and then resizing the object to the boundary of the image. Experimental investigations were made by using two benchmark shape image datasets showed that the proposed method in Case 3 had demonstrated to provide the most superior image retrieval performances as compared to both the Case 1 and Case 2. As a conlusion, to fully capture the powerful shape representation properties of the Zernike moment, a shape object should be resized to the boundary of the image.

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Robust single-object image segmentation based on salient transition region

Pattern Recognition ◽

10.1016/j.patcog.2015.10.009 ◽

2016 ◽

Vol 52 ◽

pp. 317-331 ◽

Cited By ~ 30

Author(s):

Zuoyong Li ◽

Guanghai Liu ◽

David Zhang ◽

Yong Xu

Keyword(s):

Image Segmentation ◽

Transition Region ◽

Object Image ◽

Single Object

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EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks

PLoS ONE ◽

10.1371/journal.pone.0250631 ◽

2021 ◽

Vol 16 (5) ◽

pp. e0250631

Author(s):

Zihan Li ◽

Chen Li ◽

Yudong Yao ◽

Jinghua Zhang ◽

Md Mamunur Rahaman ◽

...

Keyword(s):

Image Segmentation ◽

Edge Detection ◽

Image Classification ◽

Image Denoising ◽

Object Image ◽

Single Object ◽

Image Preprocessing ◽

Image Dataset ◽

Image Set ◽

Environmental Microorganism

Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (GT) images. The GT image sets include a single-object GT image set and a multi-object GT image set. EMDS-5 has 21 types of EMs, each of which contains 20 original EM images, 20 single-object GT images and 20 multi-object GT images. EMDS-5 can realize to evaluate image preprocessing, image segmentation, feature extraction, image classification and image retrieval functions. In order to prove the effectiveness of EMDS-5, for each function, we select the most representative algorithms and price indicators for testing and evaluation. The image preprocessing functions contain two parts: image denoising and image edge detection. Image denoising uses nine kinds of filters to denoise 13 kinds of noises, respectively. In the aspect of edge detection, six edge detection operators are used to detect the edges of the images, and two evaluation indicators, peak-signal to noise ratio and mean structural similarity, are used for evaluation. Image segmentation includes single-object image segmentation and multi-object image segmentation. Six methods are used for single-object image segmentation, while k-means and U-net are used for multi-object segmentation. We extract nine features from the images in EMDS-5 and use the Support Vector Machine (SVM) classifier for testing. In terms of image classification, we select the VGG16 feature to test SVM, k-Nearest Neighbors, Random Forests. We test two types of retrieval approaches: texture feature retrieval and deep learning feature retrieval. We select the last layer of features of VGG16 network and ResNet50 network as feature vectors. We use mean average precision as the evaluation index for retrieval. EMDS-5 is available at the URL:https://github.com/NEUZihan/EMDS-5.git.

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Transition region-based single-object image segmentation

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2014.06.010 ◽

2014 ◽

Vol 68 (12) ◽

pp. 1214-1223 ◽

Cited By ~ 3

Author(s):

Zuoyong Li ◽

Kezong Tang ◽

Yong Cheng ◽

Yong Hu

Keyword(s):

Image Segmentation ◽

Transition Region ◽

Object Image ◽

Single Object

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A Novel Defogging Algorithm Based on Genetic Algorithm with Analysis of Scientific Data Materials

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.461.806 ◽

2012 ◽

Vol 461 ◽

pp. 806-809

Author(s):

Xiao Guang Li ◽

Li Kang

Keyword(s):

Genetic Algorithm ◽

Scientific Data ◽

Object Image ◽

Optimal Parameters ◽

Single Object ◽

Global Contrast ◽

Image Defogging ◽

Global Optimal ◽

Improved Model ◽

Degraded Images

This paper proposes a novel defogging algorithm based on the improved model with analysis of scientific data materials. By integrating the merit of genetic algorithm for searching global optimal parameters, the problem of fog-degraded images defogging restoration is transformed into the problem of optimization estimation for original undegraded image by maximizing the global contrast object function, the proposed algorithm can restore the object image as complete as possible in probability sense. Experimental results for single object image defogging gain satisfy visual effect.

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“Impossible” Somatosensation and the (Ir)rationality of Perception

Open Mind ◽

10.1162/opmi_a_00040 ◽

2021 ◽

pp. 1-12

Author(s):

Isabel Won ◽

Steven Gross ◽

Chaz Firestone

Keyword(s):

Visual Perception ◽

Single Object ◽

Rational Models ◽

Magic Trick ◽

Sensory Modalities ◽

The World ◽

Weight Illusion ◽

Impossible Figures ◽

Special Case

Abstract Impossible figures represent the world in ways it cannot be. From the work of M. C. Escher to any popular perception textbook, such experiences show how some principles of mental processing can be so entrenched and inflexible as to produce absurd and even incoherent outcomes that could not occur in reality. Surprisingly, however, such impossible experiences are mostly limited to visual perception; are there “impossible figures” for other sensory modalities? Here, we import a known magic trick into the laboratory to report and investigate an impossible somatosensory experience—one that can be physically felt. We show that, even under full-cue conditions with objects that can be freely inspected, subjects can be made to experience a single object alone as feeling heavier than a group of objects that includes the single object as a member—an impossible and phenomenologically striking experience of weight. Moreover, we suggest that this phenomenon—a special case of the size-weight illusion—reflects a kind of “anti-Bayesian” perceptual updating that amplifies a challenge to rational models of perception and cognition. Impossibility can not only be seen, but also felt—and in ways that matter for accounts of (ir)rational mental processing.

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Foot Anthropometry Device and Single Object Image Thresholding

Signal & Image Processing An International Journal ◽

10.5121/sipij.2017.8301 ◽

2017 ◽

Vol 8 (3) ◽

pp. 1-14

Author(s):

Amir Mohammad Esmaieeli Sikaroudi ◽

Sasan Ghaffari ◽

Ali Yousefi ◽

Hassan Sadeghi Naeini

Keyword(s):

Object Image ◽

Single Object ◽

Image Thresholding

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Impossible Somatosensation

10.31234/osf.io/e5gy3 ◽

2019 ◽

Cited By ~ 1

Author(s):

Isabel Won ◽

Steven Gross ◽

Chaz Firestone

Keyword(s):

Visual Perception ◽

Single Object ◽

Sensory Modalities ◽

The World ◽

Impossible Figures

Impossible figures represent the world in ways it cannot be. From the work of M.C. Escher to any popular perception textbook, such experiences show how some principles of mental processing can be so entrenched and inflexible as to produce absurd and even incoherent outcomes that the perceiver knows cannot occur in reality. Surprisingly, however, such experiences have been conspicuously limited to visual perception; are there impossible experiences in other sensory modalities? Here, we modify a known conjurer’s trick to report the first impossible somatosensory experience — one that can be physically felt. We show that, even in full-cue conditions with objects that can be freely inspected, subjects can be made to experience a single object alone as feeling heavier than a group of objects that includes the single object as a member — an impossible and phenomenologically striking experience of weight. Impossibility can not only be seen, but also felt.

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