• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1175-1176
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• 2023

전기차의 자율주행을 위해선 차선 인식과 모터 제어가 필요하다. 카메라로 입력된 영상에 허프 변환을 적용하고, 변환된 이진 이미지에 Enet 및 DeepLabv3+ 구조를 활용한 LaneNet 모델을 적용하여 차선을 학습시키고, Fuzzy 제어 기법을 활용하여 모터의 조향이 원활이 되도록 하였다. 기존의 Rule base 기법에 비하여 차선 인식 정확도가 월등히 향상되었으며, 주행 결과 Real-Time 주행환경 판단에 대한 여지를 남겼다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.12
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• pp.519-524
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• 2023

In hashing-based image retrieval, the hash code of a manipulated image is different from the original image, making it difficult to search for the same image. This paper proposes and evaluates a self-supervised deephashing model that generates perceptual hash codes from feature information such as texture, shape, and color of images. The comparison models are autoencoder-based variational inference models, but the encoder is designed with a fully connected layer, convolutional neural network, and transformer modules. The proposed model is a variational inference model that includes a SimAM module of extracting geometric patterns and positional relationships within images. The SimAM module can learn latent vectors highlighting objects or local regions through an energy function using the activation values of neurons and surrounding neurons. The proposed method is a representation learning model that can generate low-dimensional latent vectors from high-dimensional input images, and the latent vectors are binarized into distinguishable hash code. From the experimental results on public datasets such as CIFAR-10, ImageNet, and NUS-WIDE, the proposed model is superior to the comparative model and analyzed to have equivalent performance to the supervised learning-based deephashing model. The proposed model can be used in application systems that require low-dimensional representation of images, such as image search or copyright image determination.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.18-25
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• 2011

Salient object attracts more and more attention from researchers due to its important role in many fields of multimedia processing like tracking, segmentation, adaptive compression, and content-base image retrieval. Usually, a saliency map is binarized into black and white map, which is considered as the binary mask of the salient object in the image. Still, the threshold is heuristically chosen or parametrically controlled. This paper suggests using the global optimal threshold to perform saliency map thresholding. This work also considers the usage of multi-level optimal thresholds and the local adaptive thresholds in the experiments. These experimental results show that using global optimal threshold method is better than parametric controlled or local adaptive threshold method.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.339-349
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• 2017

This paper proposes a four-stage algorithm for detecting lanes on a driving car. In the first stage, it extracts region of interests in an image. In the second stage, it employs a median filter to remove noise. In the third stage, a binary algorithm is used to classify two classes of backgrond and foreground of an input image. Finally, an image erosion algorithm is utilized to obtain clear lanes by removing noises and edges remained after the binary process. However, the proposed lane detection algorithm requires high computational time. To address this issue, this paper presents a parallel implementation of a real-time line detection algorithm on a multi-core architecture. In addition, we implement and simulate 8 different processing element (PE) architectures to select an optimal PE architecture for the target application. Experimental results indicate that 40×40 PE architecture show the best performance, energy efficiency and area efficiency.

• Journal of Korea Multimedia Society
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• v.9 no.2
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• pp.215-225
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• 2006

Binary images, such as cartoon character images, text images and signature images, which consist of two values with black and white have more difficulties inserting imperceptible secret data than color images. Steganography using binary cover images is not easy to satisfy requirements for both the imperceptibility of stego images and a high embedding rate of secret data at the same time. In this paper, we propose a scheme that can get both the high quality of stego images and a high embedding rate by supplementing the advantages of previous research. In addition, the insertion of the proposed method changes only existing pixels of the imperceptible position and can embed the secret data of [$log_2(mn+1)-2$] bits in a block with size of $m{\times}n$.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.11
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• pp.111-118
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• 1990

In this paper, pSDF-based referance image is realized. Using BJTC (binary joint transform correlator) as the spatial plane correlator, optical pattern recognition for interclass identification and interclass discrimination is performed. Computer simulation shows that the correlation performance of BJTC is superior to that of JTC. Experimental results using BJTC reveal that correlation peak intensity is constant within the error rang from $4.1{\%}\to\9.6{\%}$ in interclass identification and correlation peak intensity of one class is two times higher than that of the other class in interclass discrimination, which indicates its superiority in discrimination sensitivity.

• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.122-130
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• 2018

The purpose of this study was to identify the nursing college students' problem solving ability, nurses' image and leadership and compare problem solving ability, nurses' amage and leadership after management clinical practice. A descriptive survey design was used 60 nursing students who 4th grade, during August 2014. Data were analyzed using mean, t-test, ANOVA with SPSS 21.0. The highest area was 'get a gob' in application motivation, 'from nurse during clinical training' in most influencing events. Satisfaction with nursing as major was 83.4% above 'moderate'. There were significant mean differences in nurses' image according to having relation nurse and satisfaction with nursing as major, leadership according to application motivation and satisfaction with nursing as major and personality, problem solving ability according to having relation nurse and personality. The subject scored 3.32 points of full 5 on problem solving ability, 3.41 of full 5 on nurses' image and 3.62 of full 5 on leadership before management clinical practice. Scores for problem solving ability(t=-2.15, p=.03), nurses' image(t=-2.67, p=.01) and leadership(t=-2.20, p=.03) showed statistically significant increases after management practice. The result should be reflected in the development of effective teaching for management clinical practice.

• Journal of Navigation and Port Research
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• v.40 no.4
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• pp.207-212
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• 2016

The box-counting(BC) method is one of the most commonly used methods for fractal dimension calculation of binary images in the fields of Engineering, Science, Medical Science, Geology, etc due to its simplicity and reliability. It deals with only square images with each size equal to the power of 2 to prevent it from discarding unused pixels for images of arbitrary size. In this paper, we presents a more efficient BC method based on the original one, which is applicable to images of arbitrary size. The proposed approach allows the number of the counting boxes to be real to improve the estimation accuracy. The mean absolute error performance is computed on two deterministic fractal images whose theoretical dimensions are well known to compare with those of the existing BC method and triangular BC method. The experimental results show that the proposed method can outperform the two methods and assess the complexity of coastline images of Korea and Chodo island taken from the Google map.

• Journal of KIISE:Software and Applications
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• v.29 no.4
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• pp.235-247
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• 2002

For an efficient indexing and retrieval of digital video data, research on video caption extraction and recognition is required. This paper proposes methods for extracting artificial captions from video data and enhancing their image quality for an accurate Hangul and English character recognition. In the proposed methods, we first find locations of beginning and ending frames of the same caption contents and combine those multiple frames in each group by logical operation to remove background noises. During this process an evaluation is performed for detecting the integrated results with different caption images. After the multiple video frames are integrated, four different image enhancement techniques are applied to the image: resolution enhancement, contrast enhancement, stroke-based binarization, and morphological smoothing operations. By applying these operations to the video frames we can even improve the image quality of phonemes with complex strokes. Finding the beginning and ending locations of the frames with the same caption contents can be effectively used for the digital video indexing and browsing. We have tested the proposed methods with the video caption images containing both Hangul and English characters from cinema, and obtained the improved results of the character recognition.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.89-100
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• 2015

This study focused on analyzing the effects of characteristics of marketing mix on brand image, perception, switching barrier and loyalty of authorized dealers in the Korean CCTV converging channels. This study formulated a structural equational model, in which characteristics of marketing mix was adapted as an exogenous variable and in which brand image, perception of authorized dealer, switching barrier were included as mediator variables, having influences to the endogenous variable such as loyalty of authorized dealers. In this study, 8 hypotheses were formulated, on which this research models were based, in order to test the significance of mediator effects, suggested in the previous articles, that having high significance. This study collected the effective questionnaires of 191 respondents who were the authorized dealers in nationwide and then analyzed with AMOS20 and SPSS20 to test the hypotheses. This study concluded as follows: Product and price in marketing mix had a significant effect on the brand image but only advertising had some effects on the perception of providing parties.