the proceedings contain 55 papers. the topics discussed include: classification of subcellular location patterns in fluorescence microscope images based on modified threshold adjacency statistics;automatic extraction ...
ISBN:
(纸本)9781424497065
the proceedings contain 55 papers. the topics discussed include: classification of subcellular location patterns in fluorescence microscope images based on modified threshold adjacency statistics;automatic extraction of positive cells in pathology images of meningioma based on the maximal entropy principle and HSV color space;a novel iris segmentation method based on balloon active contour;retinal vessel segmentation using color image morphology and local binary patterns;computer-aided detection of proliferative cells and mitosis index in immunohistichemically images of meningioma;full automatic micro calcification detection in mammogram images using artificial neural network and Gabor wavelets;lung nodule segmentation using active contour modeling;assessment and elimination of errors due to electrode displacements in elliptical and square models in EIT;and a new scheme of face image encoding through wireless fading channels using WBCT and block thresholding.
the number of high quality images of rock panels containing petroglyphs grows steadily. Different time-consuming manual methods to determine and document the exact shapes and spatial locations of petroglyphs on a pane...
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the detection of change in mild cognitive impairment (MCI) is vital between one visit and another visit for the early-stage detection of Alzheimer's disease (AD). It is associated with changes in the structural an...
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ISBN:
(纸本)9798400710759
the detection of change in mild cognitive impairment (MCI) is vital between one visit and another visit for the early-stage detection of Alzheimer's disease (AD). It is associated with changes in the structural and functional aspects. Diagnosis of dementia progression is a challenging but essential step for the planning of early treatment. this paper proposes the cellular automata (CA) framework to identify the changes when the disease progresses from one visit to another. An updated rule using the conduction function of anisotropic diffusion has been proposed to assess the earliest signs of dementia manifestation and progression. the progression of dementia disease in multi-visit subjects for healthy and unhealthy patients has been analyzed by examining the entropy from evolved 2D CA images. the subjects below the reference line in healthy cases lead to the prognosis of the disease, whereas subjects above the reference line in unhealthy subjects are in improved condition. the proposed CA architecture shows the transitions and progressive patterns, thereby offering a method for tracking the evolution of dementia over time.
Retinal edema caused by fluid buildups has links to visionthreatening retinal diseases. Presently, spectral-domain optical coherence tomography (SD-OCT) is the imaging method of choice for evaluating retinal health a...
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ISBN:
(纸本)9798400710759
Retinal edema caused by fluid buildups has links to visionthreatening retinal diseases. Presently, spectral-domain optical coherence tomography (SD-OCT) is the imaging method of choice for evaluating retinal health and tracking treatment progress. Automated methods for fluid segmentation in retinal OCT B-scans are critical for ocular disease diagnosis. the segmentation task in retinal OCT B-scans with pathological manifestations is challenging as the retinal layered structure varies significantly withthe severity of the underlying disease condition. In this paper, we present a Contextual Self-Attention based U-Net (CoSAUNet) architecture for fluid segmentation in pathological OCT B-scans. the proposed model replaces the basic convolutional layers in the standard U-Net architecture with contextual self-attention layers. the contextual self-attention mechanism integrates contextual information mining among neighboring keys and conventional self-attention into a unified architecture to learn the long-range feature dependencies. the robustness of the proposed CoSAUNet model is evaluated through a 3-fold cross-validation setup on the RETOUCH and the AROI datasets, yielding average Dice scores (DS) of 88.16% and 76.67%, respectively. Furthermore, the CoSAUNet performs comparably to the state-of-the-art methods while using only half of the parameters.
Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. the method is noniterative, local, and simple. It combines gray levels or colors based on boththe...
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ISBN:
(纸本)8173192219
Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. the method is noniterative, local, and simple. It combines gray levels or colors based on boththeir geometric closeness and their photometric similarity and prefers near values to distant values in both domain and range. In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception. Also, in contrast with standard filtering, bilateral filtering produces no phantom colors along edges in color images, and reduces phantom colors where they appear in the original image.
Estimation of the area of mouth opening from a video of the speaker's face and processing of the simultaneously recorded speech signal can be used for estimation of vocal tract shape during speech production. A te...
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this paper proposes a web-based BML contents management system. BML is the short form of Broadcast Markup Language which is a script language for data broadcasting contents included in digital TV broadcasting services...
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ISBN:
(纸本)9780769537894
this paper proposes a web-based BML contents management system. BML is the short form of Broadcast Markup Language which is a script language for data broadcasting contents included in digital TV broadcasting services of Japan. the scripting style of BML is very similar to that of HTML and it also supports style-sheets and JavaScript. However, in BML, there are many restrictions about the display area size, font sizes, color types and so on because the BML-browser of TV is not flexible as compared withthe Web-browser. Although there are a couple of dedicated software packages for BML contents creation, they are very expensive and difficult to use. So, BML contents creation is not easy for the end-user. To make it easier to create BML contents, the authors have been developing a web-based BML contents management system. this paper explains fundamental functionalities provided by the proposed BML contents management system. Already many digital contents were created and stored and we can easily obtain their images by capturing the screen snapshot. So, this paper also proposes style-sheets extraction method for BML contents from such already existing digital contents by imageprocessing techniques.
Leaf image recognition is a fine-grained image classification task in the computervision domain that is fundamental yet challenging both in biology and computervision research communities. Withthe advent of the Con...
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Automated segmentation of medical image volumes promises to reduce costly medical experts' time for annotation. However, using machine learning for the task is challenging due to variations in imaging modalities a...
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ISBN:
(纸本)9798400710759
Automated segmentation of medical image volumes promises to reduce costly medical experts' time for annotation. However, using machine learning for the task is challenging due to variations in imaging modalities and scarcity of patient data. While interactive image segmentation methods and foundational models incorporating user-provided prompts to refine segmentation masks have shown promise, they overlook crucial sequential information between the slices in 3D medical image volumes and videos, resulting in discontinuities in the segmentation results. this paper proposes a new framework that dynamically updates model parameters during inference in a test time training framework using user-provided scribbles. Our framework preserves acquired knowledge from the previous slices of the current medical volume and the training dataset via student-teacher learning. We evaluate our method on diverse CT, MRI, and microscopic cell datasets. Our framework significantly reduces user annotation time by a factor of 6.72x. Compared to other interactive segmentation methods, we reduce the time by a factor of 2.64x. Our method also outperforms prompting foundation models for segmentation by achieving a dice score of 0.9 in 3-4 interactions compared to 5-8 user interactions for the foundation model, significantly reducing annotation time for the CT and MRI volumes.
In the manufacturing, inspection process always facing the problem of time and consuming number of staff consuming. Because companies want to maintain high quality of their products. Introducing a technology such as a...
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ISBN:
(纸本)9781728108513
In the manufacturing, inspection process always facing the problem of time and consuming number of staff consuming. Because companies want to maintain high quality of their products. Introducing a technology such as autonomous machine vision and computer-based algorithms would solve a problem. Typically, this detection requires human to inspect the pointer, however it takes time and sometimes the errors are caused by human eyes judgement. So, we can apply imageprocessing and robotics to reduce number of staff, human error, time and cost in this inspection. therefore, this paper presents an automatic system to detect, analyze and measure size of the defect on automobile cluster pointer. We introduced an adaptive intensity adjustment algorithm to solve a variation of intensity from taking image of various color of cluster pointer by a fix aperture camera. In the experimental result, our defection size measurement passed a bias test. then, our system was tested in the real production line over 66,160 pieces within two months period. the result shown that the accuracy was 99.4%.
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