• Journal of the Optical Society of Korea
• /
• 제14권2호
• /
• pp.97-103
• /
• 2010

We propose a new technique for the optical encryption of gray-level optical images digitized into 8-bits binary data by ASCII encoding followed by QPSK modulation. We made an encrypted digital hologram with a security key by using 2-step phase-shifting digital holography, and the encrypted digital hologram is recorded on a CCD camera with 256 gray-level quantized intensities. With these encrypted digital holograms, the phase values are reconstructed by the same security key and are decrypted into the original gray-level optical image by demodulation and decoding. Simulation results show that the proposed method can be used for cryptosystems and security systems.

• 대한전기학회논문지:전기물성ㆍ응용부문C
• /
• 제51권1호
• /
• pp.46-54
• /
• 2002

Plasma Display Panel (PDP) is required to be both the determination of white point of each gray level and the inverse gamma correction since no-balanced RGB cell and linear property of PDP, respectively. However, these two methods cause degradation of grey level representation and undesirable false contour in the dark areas on PDP. In this paper, we implemented real time image processor of the proposed error diffusion algorithm and unsharp masking operation to protect the blurring image caused by the error diffusion. Experimental results showed drastic improvements of gray level representation and reduction of undesirable false contour.

• 제어로봇시스템학회논문지
• /
• 제9권8호
• /
• pp.640-646
• /
• 2003

We presents an edge-based point correlation algorithm for fast and stable visual inspection system. Conventional algorithms based on NGC(normalized gray-level correlation) have to overcome some difficulties in applying automated inspection systems to real factory environment. First of all, NGC algorithms involve highly complex computation and thus require high performance hardware for realtime process. In addition, lighting condition in realistic factory environments is not stable and therefore intensity variation from uncontrolled lights gives many troubles for applying NGC directly as pattern matching algorithm. We propose an algorithm to solve these problems, using thinned and binarized edge data, which are obtained from the original image. A point correlation algorithm with the thinned edges is introduced with image pyramid technique to reduce the computational complexity. Matching edges instead of using original gray-level image pixels overcomes problems in NGC method and pyramid of edges also provides fast and stable processing. All proposed methods are proved by the experiments using real images.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제3권1호
• /
• pp.52-57
• /
• 2003

In this paper, we propose a Fuzzy Classifier System(FCS) to find a set of fuzzy rules which can carry out the edge detection. The classifier system of Holland can evaluate the usefulness of rules represented by classifiers with repeated learning. FCS makes the classifier system be able to carry out the mapping from continuous inputs to outputs. It is the FCS that applies the method of machine learning to the concept of fuzzy logic. It is that the antecedent and consequent of classifier is same as a fuzzy rule. In this paper, the FCS is the Michigan style. A single fuzzy if-then rule is coded as an individual. The average gray levels which each group of neighbor pixels has are represented into fuzzy set. Then a pixel is decided whether it is edge pixel or not using fuzzy if-then rules. Depending on the average of gray levels, a number of fuzzy rules can be activated, and each rules makes the output. These outputs are aggregated and defuzzified to take new gray value of the pixel. To evaluate this edge detection, we will compare the new gray level of a pixel with gray level obtained by the other edge detection method such as Sobel edge detection. This comparison provides a reinforcement signal for FCS which is reinforcement learning. Also the FCS employs the Genetic Algorithms to make new rules and modify rules when performance of the system needs to be improved.

• 대한전자공학회논문지SP
• /
• 제39권3호
• /
• pp.1-10
• /
• 2002

플라즈마 디스플레이에서는 역감마 보정으로 인한 표현 계조수의 감소 때문에 어두운 영역에서 의사윤곽이 발생하게 된다. 기존에는 이와 같은 문제를 해결하기 위해 주로 오차확산 방법이 사용되었다. 하지만, 오차확산 방법은 계산량이 많고, 많은 메모리 용량을 필요로 한다. 본 논문에서는 적은 계산량으로 어두운 영역에서의 계조 표현 성능을 향상시키기 위한 디더링 방법을 제안한다. 제안하는 방법에서는 표현 가능한 계조수 증가를 위하여 복수개의 디더링 마스크들을 프레임마다 번갈아 적용한다. 또한, 디더링 방법에서 발생하는 규칙적인 패턴을 감소시키기 위해 프레임별로 사용되는 디더링 마스크내의 문턱치의 위치를 변화시키도록 한다. 제안하는 방법은 기존의 오차확산 방법과 비교하여 상대적으로 적은 계산량과 메모리를 사용하면서도 시각적으로 유사한 계조 재현 성능을 나타낸다.

• 한국광학회지
• /
• 제19권1호
• /
• pp.60-67
• /
• 2008

전광 그레이코드(gray code) 이진코드(binary code) 변환기를 상용화 전산모사 프로그램(VPI)을 이용하여 처음으로 구현하였다. 전자회로 디자인 방법을 상호 이득변조를 이용한 전광 논리회로에 적합하도록 변형하여, 이상적이지 않은 전광 논리게이트에 의한 신호 왜곡이 최소화 되도록 하였다. 2.5 Gbps의 20 dB 소광비를 가지는 입력 신호에 대해, 신호재생기 없이 가장 많이 왜곡된 출력 신호에 (최하위 비트-LSB) 대해 약 4 이상의 Q값을 얻을 수 있었다. 또한 그레이 코드 이진코드 변환기를 디자인하면서, 이단 단순화 방법을 (two-level simplification method) 변형하여, 그레이코드 이진코드 변환기뿐 아니라 일반적인 전광 회로에 적용할 할 수 있는 일반적 방법을(일단 단순화 방법: one-level simplification method) 얻을 수 있었다.

• 농업과학연구
• /
• 제46권1호
• /
• pp.103-111
• /
• 2019

Gray mold caused by Botrytis cinerea on strawberry plants is an economically significant disease in Korea. The rates for diseased fruits are high during the strawberry harvesting period from December to February, especially in hydroponic cultivation. This study assessed the effect of the nitrogen type in the soil culture and the electrical conductivity (EC) of the nutrient solution in a hydroponic culture on the gray mold incidence in 'Seolhyang' strawberry plants. The nitrogen sources assayed included calcium nitrate tetrahydrate (CN4), calcium nitrate decahydrate (CN10), ammonium sulfate (AS), and commercial fertilizer 213 (213). The effect of the EC was tested at 0.5, 0.8, 1.0, and $1.5dS{\cdot}m^{-1}$. The occurrence of gray mold varied according to the nitrogen type. The disease incidence and nitrogen content for the main nitrogen type were higher compared to the non-treated control. The AS treatment showed the highest occurrence of tipburn and gray mold. The incidence of gray mold as well as the nitrogen and phosphorus content of the leaves increased as the EC level was increased. These results indicate that the incidence of gray mold in strawberry plants is related to the nitrogen content of the leaf and the EC of the nutrient solution.

• 한국정보디스플레이학회:학술대회논문집
• /
• 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.I
• /
• pp.647-650
• /
• 2005

A new driving scheme, Address and Display Period Complex Driving for Expanding Gray Scale(ACE), is proposed by mixing Address Display period Separated(ADS) and Address While Display(AWD). In this method scan lines are divided in blocks driving by AWD and scan lines in block progress sequential high speed addressing. ADS driving get accomplished in low gray level for expanding gray scale. Scan time is reduced and the number of subfields is increased by high speed addressing of ACE. That expands the gray scale and decreases the dynamic false contour. Also, that improves contrast by using ramp reset.

• 한국지능시스템학회논문지
• /
• 제13권6호
• /
• pp.649-654
• /
• 2003

대부분의 영상 임계화 방법들은 그레이 레벨의 히스토그램 함수를 이용하여 임계값을 설정한다. 본 논문에서는 히스토그램을 이용하는 기존의 영상 임계화 방법들의 단점을 간단하면서 효율적으로 보여주는 예제를 제시한다. 이러한 기존의 임계화 방법들의 단점을 개선하기 위해 그레이 레벨의 분포를 기반으로 하는 새로운 그레이 레벨 임계값 설정방법을 제안한다. 마지막으로, 여러 가지 예제를 통해 제안된 임계값 설정 방법의 효율성을 보인다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
• /
• pp.359-362
• /
• 2003

In PDP(Plasma Display Panel), sub-field method is used to implement gray scale. Each sub-field has different periods. And Every gray level has information of which sub-field has to be displayed. This is called sub-field mapping. There are several sub-field mapping values in some gray levels. So, it is possible to select best choice in this paper, we propose new sub field mapping method using a fuzzy inference system to select best sub-field mapping values in accordance with input image and environment temperature. In order to implement fuzzy system, we used MATLAB fuzzy inference editor.