• Title/Summary/Keyword: Similar image rating

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The Parameter Learning Method for Similar Image Rating Using Pulse Coupled Neural Network

  • Matsushima, Hiroki;Kurokawa, Hiroaki
    • Journal of Multimedia Information System
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    • v.3 no.4
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    • pp.155-160
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    • 2016
  • The Pulse Coupled Neural Network (PCNN) is a kind of neural network models that consists of spiking neurons and local connections. The PCNN was originally proposed as a model that can reproduce the synchronous phenomena of the neurons in the cat visual cortex. Recently, the PCNN has been applied to the various image processing applications, e.g., image segmentation, edge detection, pattern recognition, and so on. The method for the image matching using the PCNN had been proposed as one of the valuable applications of the PCNN. In this method, the Genetic Algorithm is applied to the PCNN parameter learning for the image matching. In this study, we propose the method of the similar image rating using the PCNN. In our method, the Genetic Algorithm based method is applied to the parameter learning of the PCNN. We show the performance of our method by simulations. From the simulation results, we evaluate the efficiency and the general versatility of our parameter learning method.

Automatic National Image Interpretability Rating Scales (NIIRS) Measurement Algorithm for Satellite Images (위성영상을 위한 NIIRS(Natinal Image Interpretability Rating Scales) 자동 측정 알고리즘)

  • Kim, Jeahee;Lee, Changu;Park, Jong Won
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.725-735
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    • 2016
  • High-resolution satellite images are used in the fields of mapping, natural disaster forecasting, agriculture, ocean-based industries, infrastructure, and environment, and there is a progressive increase in the development and demand for the applications of high-resolution satellite images. Users of the satellite images desire accurate quality of the provided satellite images. Moreover, the distinguishability of each image captured by an actual satellite varies according to the atmospheric environment and solar angle at the captured region, the satellite velocity and capture angle, and the system noise. Hence , NIIRS must be measured for all captured images. There is a significant deficiency in professional human resources and time resources available to measure the NIIRS of few hundred images that are transmitted daily. Currently, NIIRS is measured every few months or even few years to assess the aging of the satellite as well as to verify and calibrate it [3]. Therefore, we develop an algorithm that can measure the national image interpretability rating scales (NIIRS) of a typical satellite image rather than an artificial target satellite image, in order to automatically assess its quality. In this study, the criteria for automatic edge region extraction are derived based on the previous works on manual edge region extraction [4][5], and consequently, we propose an algorithm that can extract the edge region. Moreover, RER and H are calculated from the extracted edge region for automatic edge region extraction. The average NIIRS value was measured to be 3.6342±0.15321 (2 standard deviations) from the automatic measurement experiment on a typical satellite image, which is similar to the result extracted from the artificial target.

An Analysis of Previous Researches on Clothing Image and Make-up Image (의복이미지와 화장이미지에 관한 기존 연구 분석)

  • Lee Hyun-Jung;Kim Mi-Young
    • Journal of the Korean Society of Costume
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    • v.54 no.7
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    • pp.91-106
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    • 2004
  • The purpose of this study was to review the previous researches, analyze the clothing image, the make-up image and compare the analyses of clothing image and make-up image. The previous researches of clothing image and make-up image were reviewed in 6 kinds of Journal. The results of previous research review and analysis were followed as : Measuring mean of image are used to similarly that semantic differential technique and summated rating technique. Attention to proposed researcher abstraction image in make-up image, but there is problem that this hard to explain objectivity of image abstraction. There are a lot of occasions that 4 or 5 image factors were extracted by factor analysis. The make-up image researches that presented image stimulus were more than study that do not present. Image words were classified which were compiled words have similar sub image. Grace, activeness, lively. unique, modernity attractive, feminine. sexy and ripeness clothing images were classified factors. which were representative clothing image. Elegance, Sophisticate. romantic, natural, modern and youthfulness make-up image for factor were representative make-up image factors. However the problems were found that some representative image factor included the sub images which were different from some factor image. Compared with representation image words, same image words were used to not agree what clothing image and make-up image. Standardization of word should be made that show that clothing image and make-up image.

A Study on the Positioning Strategy of Family Restaurants (패밀리 레스토랑 포지셔닝 전략에 관한 연구 -지각도를 통한 포지셔닝 분석-)

  • Yom, Jin-Chul
    • Culinary science and hospitality research
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    • v.10 no.1
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    • pp.153-166
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    • 2004
  • This study analyzed the positioning of family restaurants by image factors, as a result, customers divided into 5 groups from 7 restaurants. All customers realized similar images from subject restaurants, which told that those restaurants are within an intense competition. Strong points of each restaurant are as follows by factors; Outback and TGIF was confidence, Sizzler and Outback was response, Outback and Skylark was type, Bennigan's and TGIF was reliability, Bennigan's and Outback was reactivity. Weak points each restaurant are as follows by factors; Bennigan's and TonyRoma's were confidence and response, TonyRoma's and Marche was type, Sizzler and TonyRoma's was confidence, Sizzler and TonyRoma's was reactivity. The analysis on each restaurants' images by factors told that response and reactivity were above the average, confidence and reliability were around the average, type was the lowest value. It told that customers didn't give a high rating toward restaurants' food flavor, freshness, cleanliness, therefore restaurants need pay more attention to positioning strategies, Instead, customers gave a high rating toward service, accessibility, menu-variety, and parking-convenience, therefore, continuous improvement is required.

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Textures and Sensible Images on Structural Properties of Washable Wool and Normal Wool Knit Fabrics (Part II) -Focus on Preferences- (워셔블 울과 노멀 울편성물의 구성특성에 따른 질감 및 감성이미지 (제2보) -구성특성에 따른 선호도를 중심으로-)

  • Kim, Hyun-Ah;Ryu, Hyo-Seon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.5
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    • pp.501-511
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    • 2012
  • This study examines the effect of structural properties of F/W wool knit fabrics for woman's knitwear on the preferences for textile designing through analyzing the relationship among the structural properties, mechanical properties, objective hand measurements, and preferences. The 'knit structure' was determined to be the most important parameter in rating preferences, apart from the 'preference for cardigans'. Consumers preferred washable wool to normal wool when comparing a normal wool knit with a washable wool knit on a 'knit structure' factor. Preferred structural properties showed a similar tendency 'preference for fabric' and the 'preference for cardigans', 'preference for sweaters' and 'preference for vests'. The 'sophisticated/feminine' factor showed a correlation with 'fabric preference' and the texture and sensible images had a similar effect on fabric preferences. In the relationship between objective hand measurements and fabric preferences, the KOSHI value had a negative coefficient and the THV value had a positive correlation with fabric preferences. In conclusion, we found a consumer preference for more flexible fabrics.

Splanchnic nerve neurolysis via the transdiscal approach under fluoroscopic guidance: a retrospective study

  • Cai, Zhenhua;Zhou, Xiaolin;Wang, Mengli;Kang, Jiyu;Zhang, Mingshuo;Zhou, Huacheng
    • The Korean Journal of Pain
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    • v.35 no.2
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    • pp.202-208
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    • 2022
  • Background: Neurolytic celiac plexus block (NCPB) is a typical treatment for severe epigastric cancer pain, but the therapeutic effect is often affected by the variation of local anatomical structures induced by the tumor. Greater and lesser splanchnic nerve neurolysis (SNN) had similar effects to the NCPB, and was recently performed with a paravertebral approach under the image guidance, or with the transdiscal approach under the guidance of computed tomography. This study observed the feasibility and safety of SNN via a transdiscal approach under fluoroscopic guidance. Methods: The follow-up records of 34 patients with epigastric cancer pain who underwent the splanchnic nerve block via the T11-12 transdiscal approach under fluoroscopic guidance were investigated retrospectively. The numerical rating scale (NRS), the patient satisfaction scale (PSS) and quality of life (QOL) of the patient, the dose of morphine consumed, and the occurrence and severity of adverse events were recorded preoperatively and 1 day, 1 week, 1 month, and 2 months after surgery. Results: Compared with the preoperative scores, the NRS scores and daily morphine consumption decreased and the QOL and PSS scores increased at each postoperative time point (P < 0.001). No patients experienced serious complications. Conclusions: SNN via the transdiscal approach under flouroscopic guidance was an effective, safe, and easy operation for epigastric cancer pain, with fewer complications.

Radiographic Analysis of Instrumented Posterolateral Fusion Mass Using Mixture of Local Autologous Bone and b-TCP (PolyBone$^{(R)}$) in a Lumbar Spinal Fusion Surgery

  • Park, Jin-Hoon;Choi, Chung-Gon;Jeon, Sang-Ryong;Rhim, Seung-Chul;Kim, Chang-Jin;Roh, Sung-Woo
    • Journal of Korean Neurosurgical Society
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    • v.49 no.5
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    • pp.267-272
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    • 2011
  • Objective : Although iliac crest autograft is the gold standard for lumbar fusion, the morbidity of donor site leads us to find an alternatives to replace autologous bone graft. Ceramic-based synthetic bone grafts such as hydroxyapatite (HA) and b-tricalcium phosphate (b-TCP) provide scaffolds similar to those of autologous bone, are plentiful and inexpensive, and are not associated with donor morbidity. The present report describes the use of Polybone$^{(R)}$ (Kyungwon Medical, Korea), a beta-tricalcium phosphate, for lumbar posterolateral fusion and assesses clinical and radiological efficacy as a graft material. Methods : This study retrospectively analyzed data from 32 patients (11 men, 21 women) who underwent posterolateral fusion (PLF) using PolyBone$^{(R)}$ from January to August, 2008. Back and leg pain were assessed using a Numeric Rating Scale (NRS), and clinical outcome was assessed using the Oswestry Disability Index (ODI). Serial radiological X-ray follow up were done at 1, 3, 6 12 month. A computed tomography (CT) scan was done in 12 month. Radiological fusion was assessed using simple anterior-posterior (AP) X-rays and computed tomography (CT). The changes of radiodensity of fusion mass showed on the X-ray image were analyzed into 4 stages to assess PLF status. Results : The mean NRS scores for leg pain and back pain decreased over 12 months postoperatively, from 8.0 to 1.0 and from 6.7 to 1.7, respectively. The mean ODI score also decreased from 60.5 to 17.7. X-rays and CT showed that 25 cases had stage IV fusion bridges at 12 months postoperatively (83.3% success). The radiodensity of fusion mass on X-ray AP image significantly changed at 1 and 6 months. Conclusion: The present results indicate that the use of a mixture of local autologous bone and PolyBone$^{(R)}$ results in fusion rates comparable to those using autologous bone and has the advantage of reduced morbidity. In addition, the graft radiodensity ratio significantly changed at postoperative 1 and 6 months, possibly reflecting the inflammatory response and stabilization.