• Title/Summary/Keyword: HWT

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Improvement of Image Compression Using EZW Based in HWT (HWT에 기초한 EZW를 이용한 영상압축 개선)

  • Kim, Jang-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.12
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    • pp.2641-2646
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    • 2011
  • In this paper, we studied that the EZW algorithm based in HWT was proposed effective compression technique of wavelet transformed image. The proposed Haar-EZW algorithm is that image was coding by zerotree coding technique using self-similarity of HWT coefficients. If the HWT coefficient is larger than the threshold, that is coding to POS. If the HWT coefficient is smaller than the threshold, that is coding to NEG. If the HWT coefficient is larger than the root of zerotree, that is coding to ZTR. If the HWT coefficient is smaller then the threshold, and if that is not the root of zerotree, that is coding to IZ. This process is repeated until all the HWT coefficients have been encoded completely. This paper is compared Haar-EZW algorithm with Daubechies and Antonini. As the results of compare, it is shown that the PSNR of the Haar-EZW algorithm is better than Daubechies's and Antonini's.

A Study on The Facial Image Segmentation using Haar Wavelet Transform (Haar Wavelet Transform을 적용한 얼굴영상 분할에 관한 연구)

  • 김장원;구원모;김창석
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.457-460
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    • 2000
  • 본 연구는 HWT를 이용하여 인체상반신 영상에서 얼굴부위만을 분할하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 배경을 제거하기 위하여 인체 상반신영상을 2치화 영상으로 만들고, HWT를 적용하여 평균영상과 복원영상에서 고립점, 돌출부위, 경계중복점을 제거한 후 세선화과정을 통하여 경계검출을 수행한다. 다음으로 얼굴부위의 단순경계만을 갖는 마스크를 만들고, 원영상에 마스킹하여 효과적으로 얼굴부위만을 분할한다.

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Inverse-Orthogonal Jacket-Haar and DCT Transform (Inverse-Orthogonal Jacket-Haar, DCT 변환)

  • Park, Ju Yong;Khan, Md. Hashem Ali;Kim, Jeong Su;Lee, Moon Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.9
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    • pp.30-40
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    • 2014
  • As the Hadamard transform can be generalized into the Jacket transform, in this paper, we generalize the Haar transform into the Jacket-Haar transform. The entries of the Jacket-Haar transform are 0 and ${\pm}2^k$. Compared with the original Haar transform, the basis of the Jacket-Haar transform is general and more suitable for signal processing. As an application, we present the DCT-II(discrete cosine transform-II) based on $2{\times}2$ Hadamard matrix and HWT(Haar Wavelete transform) based on $2{\times}2$ Haar matrix, analysis the performances of them and estimate them via the Lenna image simulation.

Fast Hybrid Transform: DCT-II/DFT/HWT

  • Xu, Dan-Ping;Shin, Dae-Chol;Duan, Wei;Lee, Moon-Ho
    • Journal of Broadcast Engineering
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    • v.16 no.5
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    • pp.782-792
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    • 2011
  • In this paper, we address a new fast DCT-II/DFT/HWT hybrid transform architecture for digital video and fusion mobile handsets based on Jacket-like sparse matrix decomposition. This fast hybrid architecture is consist of source coding standard as MPEG-4, JPEG 2000 and digital filtering discrete Fourier transform, and has two operations: one is block-wise inverse Jacket matrix (BIJM) for DCT-II, and the other is element-wise inverse Jacket matrix (EIJM) for DFT/HWT. They have similar recursive computational fashion, which mean all of them can be decomposed to Kronecker products of an identity Hadamard matrix and a successively lower order sparse matrix. Based on this trait, we can develop a single chip of fast hybrid algorithm architecture for intelligent mobile handsets.

Effective Heat Treatment Techniques for Control of Mung Bean Sprout Rot, Incorporable into Commercial Mass Production

  • Lee, Jung-Han;Han, Ki-Soo;Kim, Tae-Hyoung;Bae, Dong-Won;Kim, Dong-Kil;Kang, Jin-Ho;Kim, Hee-Kyu
    • The Plant Pathology Journal
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    • v.23 no.3
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    • pp.174-179
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    • 2007
  • Seedlot disinfection techniques to control mung bean sprout rot caused by Colletoricum acutatum and C. gloeosporioides were evaluated for commercial production scheme. Soaking seedlots in propolis (100 X) and ethanol (20% for 30 min) appeared promising with control values of 85.5 and 80.8 respectively, but still resulted in up to 20% rot incidence. None of the C. acutatum conidia survived through hot water immersion treatment (HWT) for 10 min at temperatures of 55, 60 and $65^{\circ}C$, whereas the effective range of the dry heat treatment (DHT) was $60-65^{\circ}C$. Tolerance of mung bean seedlot, as estimated by hypocotyl elongation and root growth, was lower for HWT than for DHT. Germination and growth of sprouts were excellent over the range of $55-65^{\circ}C\;at\;5^{\circ}C$ intervals, except for HWT at $65^{\circ}C$ for 5 min. At this marginal condition, heat damage appeared so that approximately 2% of seeds failed to sprout to normal germling and retarded sprouts were less than 5% with coarse wrinkled hypocotyls. These results suggested that DHT would be more feasible to disinfect mung bean seedlots for commercial sprout production. Heat treatment at above ranges was highly effective in eliminating the epiphytic bacterial strains associated with marketed sprout rot samples. HWT of seedlot at 55 and $60^{\circ}C$ for 5 min resulted in successful control of mung bean sprout rot incidence with marketable sprout quality. DHT at 60 and $65^{\circ}C$ for 30 min also gave good results through the small-scale sprouting system. Therefore, we optimized DHT scheme at 60 and $65^{\circ}C$ for 30 min, considering the practical value of seedlot disinfection with high precision and accuracy. This was further proved to be a feasible and reliable method against anthracnose incidence and those bacterial strains associated with marketed sprout rot samples as well, through factory scale mung bean sprout production system.

Effects of various cooling methods and drinking water temperatures on reproductive performance and behavior in heat stressed sows

  • Habeeb, Tajudeen;Joseph, Moturi;Abdolreza, Hosseindoust;SangHun, Ha;Jun Young, Mun;YoHan, Choi;SooJin, Sa;JinSoo, Kim
    • Journal of Animal Science and Technology
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    • v.64 no.4
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    • pp.782-791
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    • 2022
  • The purpose of this study is to evaluate the effects of multiple cooling systems and different drinking water temperatures (DWT) on the performance of sows and their hair cortisol levels during heat stress. In this study, the effect of four different cooling systems: air conditioner (AC), cooling pad (CP), snout cooling (SC), and mist spray (MS), and two DWT, namely low water temperature (LWT) and high water temperature (HWT) on 48 multiparous sows (Landrace × Yorkshire; 242.84 ± 2.89 kg) was tested. The experiment is based on the use of eight replicas during a 21-days test. Different behaviors were recorded under different cooling treatments in sows. As a result, behaviors such as drinking, standing, and position change were found to be lower in sows under the AC and CP treatments than in those under the SC and MS treatments. Lying behavior increased under the AC and CP systems as compared with that under the SC and MS, systems. The average daily feed intake (ADFI) in sows and weight at weaning in piglets was higher under the AC, CP, and LWT treatments than under the SC, MS and HWT treatments. Sows subjected to SC and MS treatment showed higher hair cortisol levels, rectal temperature, and respiratory rate during lactation than those under AC and CP treatments. Hair cortisol levels, rectal temperature, and respiratory rate were also higher under the HWT than under the LWT treatment. As per the results of this study, the LWT has no significant effect on any of the behavioral factors. Taken together, the use of AC and CP cooling treatment is highly recommended to improve the behavior and to reduce the stress levels in lactating sows.

Effect of On-site Postharvest Hot Water Treatment on Storage Quality of Commercial Greenhouse Satsuma Mandarin (현장 열수처리에 따른 온실재배 온주감귤 상품의 저장 중 품질특성 변화)

  • Lee, Hyun-Hee;Hong, Seok-In;Son, Seok-Min;Kim, Dong-Man
    • Korean Journal of Food Science and Technology
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    • v.43 no.5
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    • pp.577-582
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    • 2011
  • Greenhouse satsuma mandarins (Citrus unshiu Marc., cv. Gungchun) of an early harvesting cultivar were treated by hot water showering at 65$^{\circ}C$ for 10 s at a commercial scale in a packing house and then stored at 5$^{\circ}C$ for 3 weeks and subsequently at 18$^{\circ}C$ for 1 week (simulated shelf-life) to examine the potential use of hot water treatment (HWT) as an environmentally benign method to maintain mandarin quality characteristics during postharvest storage and sale. The respiration rate just after heat treatment or during storage was at a similar level in both the treated and untreated fruit. HWT also had no detrimental effects on quality attributes including pH, titratable acidity, soluble solids content, weight loss, firmness, and peel color. The development of stem-end rot, mold decay, and black rot was lower in the heat-treated fruit compared to those in the untreated control. A sensory evaluation showed that HWT markedly improved fruit appearance, making the fruit cleaner and glossier. The results suggested that HWT can be applied to satsuma mandarin as an effective pretreatment to maintain postharvest quality during storage and marketing.

Human activity recognition with analysis of angles between skeletal joints using a RGB-depth sensor

  • Ince, Omer Faruk;Ince, Ibrahim Furkan;Yildirim, Mustafa Eren;Park, Jang Sik;Song, Jong Kwan;Yoon, Byung Woo
    • ETRI Journal
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    • v.42 no.1
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    • pp.78-89
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    • 2020
  • Human activity recognition (HAR) has become effective as a computer vision tool for video surveillance systems. In this paper, a novel biometric system that can detect human activities in 3D space is proposed. In order to implement HAR, joint angles obtained using an RGB-depth sensor are used as features. Because HAR is operated in the time domain, angle information is stored using the sliding kernel method. Haar-wavelet transform (HWT) is applied to preserve the information of the features before reducing the data dimension. Dimension reduction using an averaging algorithm is also applied to decrease the computational cost, which provides faster performance while maintaining high accuracy. Before the classification, a proposed thresholding method with inverse HWT is conducted to extract the final feature set. Finally, the K-nearest neighbor (k-NN) algorithm is used to recognize the activity with respect to the given data. The method compares favorably with the results using other machine learning algorithms.

Facial Image Segmentation using Wavelet Transform (웨이브렛 변환을 적용한 얼굴영상분할)

  • 김장원;박현숙;김창석
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.3
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    • pp.45-52
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    • 2000
  • In this study, we propose the image segmentation algorithm for facial region segmentation. The proposed algorithm separates the mean image of low frequency band from the differential image of high frequency band in order to make a boundary using HWT, and then we reduce the isolation pixels, projection pixels, and overlapped boundary pixels from the low frequency band. Also the boundaries are detected and simplified by the proposed boundary detection algorithm, which are cleared on the thinning process of 1 pixel unit. After extracting facial image boundary by using the proposed algorithm, we make the mask and segment facial image through matching original image. In the result of facial region segmentation experiment by using the proposed algorithm, the successive facial segmentation have 95.88% segmentation value.

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Establishment of Technology for Preventing the Soybean Sprout Colletotrichum gloeosporioides Rot (열처리에 의한 콩나물 탄저병의 방제)

  • Lee, Jung-Han;Han, Ki-Soo;Kim, Tae-Hyoung;Bae, Dong-Won;Kim, Dong-Kil;Kang, Jin-Ho;Kim, Hee-Kyu
    • Research in Plant Disease
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    • v.13 no.2
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    • pp.110-114
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    • 2007
  • Anthracnose fungus was most pathogenic on soybean sprout, of the fungi and bacteria isolated from rotten sprout on market. Bacterial strains associated were not virulent. Dry heat (DHT) applied even as high as $65^{\circ}C$ for 30min. was not effective enough to eliminate the artificially inoculated Colletotrichum gloeosporioides propagules from seedllots. Hot water immersion treatment (HWT), at elevated temperature of $55^{\circ}C$ for 20 min, did eliminate the pathogen but reduced seed germinating and retarded sprout growth: Seed germination was practically acceptable when the seedlots were exposed to at $55^{\circ}C$ for 5 min, but about 20% anthracnose propagules survived. Accordingly, we have optimized the HWT scheme for 5 min at $60^{\circ}C$. This scheme was validated, at small to large scale production system, that surely rule out the possible carry over of the bacterial contaminant from seedlots. This result should improve the shelf-life of soybean sprout on the market.