• Proceedings of the Korea Multimedia Society Conference
• /
• 2003.05b
• /
• pp.472-475
• /
• 2003

본 논문에서는 칼라맵 인덱스와 Hue 정보를 이용하여 반복적 병합을 통해 분할하는 칼라 영상 분할 방법을 제안하였다. 먼저 영상을 벡터 양자화 한 후 양자화 칼라맵 인덱스를 이용해 초기 영역을 설정한다. 초기 영역으로 선택된 영역들은 Hue 정보를 이용하여 영역을 병합하였고 그 후 미소영역을 병합하였다. 이때 반복처리로 인해 수행시간이 많이 소요되는 것을 개선하기 위해 Hue 정보를 이용한 영역 병합 처리에서 두 개의 테이블을 이용하여 속도를 개선하였다. 후처리에서는 과분할된 영역을 제거하기 위해 RGB 칼라 성분의 유클리디언 거리를 이용하여 주변유사 영역에 병합하였다. 제안 방법은 다수의 칼라 영상에 적용하여 좋은 분할 결과와 빠른 처리속도를 보여주었다.

• Journal of Embryo Transfer
• /
• v.22 no.2
• /
• pp.121-126
• /
• 2007

The objective of this study was carried out to examine the selection effects of in vitro matured porcine follicular oocytes with polar body extrusion and early cleavage as non-invasive marker to know the developmental competence in advance. The porcine oocytes matured for 48 h were examined the polar body extrusion. The examined oocytes were matured for additional $16{\sim}18h$ and activated with 7% ethanol and cultured in $5{\mu}g/ml$ cytochalasin B for 5 h for diploid formation. The treated oocytes were cultured and examined the cleavage after 48 h and continued culturing for 5 days. The oocytes of 21.9% were discarded in morphological selection and 32.1% oocytes were discarded by failure of first polar body extrusion. The selected oocytes were matured and activated and then after 48 h the cleavage rates were examined. In morphologically selected oocytes, 15.8% oocytes were not cleaved and 52.6% oocytes were normally cleaved and 31.6% oocytes were hyper-cleaved over 8-cell stage. However in the first polar body extruded oocytes, 7.1% oocytes were not cleaved and 73.1% oocytes were normally cleaved and 19.8% oocytes were hyper-cleaved. The morphologically selected embryos that not cleavage-selected were developed in 16.7% up to blastocyst and the morphologically selected and cleavage-selected embryos were developed in 31.7%. The polar body extruded oocytes that were not carried out cleavage selection were developed in 39.0% and the polar body extruded and cleavage-selected embryos were developed 49.0%. The first cleavage timing was examined with 12 h interval after activation. In $0{\sim}12,\;12{\sim}24,\;24{\sim}36,\;and\;36{\sim}48h$ intervals, 4.1%, 68.6%, 19.1%, and 2.3% oocytes were cleaved and 5.9% oocytes were not cleaved until 48 after activation. The cleaved oocytes in each interval were cultured and developed upto blastocyst with 0, 39.1, 9.5, and 0%, respectively. This results suggests that polar body extruded and cleaved at $12{\sim}36h$ embryo has higher developmental potential than the others.

• Radiation Oncology Journal
• /
• v.16 no.3
• /
• pp.275-282
• /
• 1998

Purpose : The effect of hyperfractionated radiotherapy on locally advanced non-small lung cancer was studied by a retrospective analysis. Materials & Methods : We analyzed sixty one patients of biopsy-confirmed, IIIA and IIIB non-small cell lung cancer. Using the ECOG performance scale, all the patients were scored less than 2. They were treated by curative hyperfractionated radiotherapy alone from Oct. 1992 to Oct. 1995 at the Department of Radiation Oncology. All the patients received 120cGy b.i.d with more than 6 hours interval between each fraction. The total dose of radiation was reached up to 6400-7080 cGy with a mean dose of 6934 cGy. The results were analyzed retrospectively. Results : The overall survival rate was 53 1$\%$ in 1 year, 9.9$\%$ in 2 years with a median survival time (MST) of 13.9 months. The progression free survival (PFS) rate was 37.0$\%$ in 1 year, 8.9$\%$ in 2 years. Twenty two Patients were classified as complete responders to this treatment and their MST was 19.5 months When this was compared with that of partial responders (MST: 11 7months), it was statistically significant (p=0.0003). Twenty nine patients of stage IIIA showed a better overall survival rate (1yr 63.3$\%$, 2yr 16.8$\%$) than IIIB patients (1yr 43.3$\%$, 2yr 3.6$\%$), which was also statistically significant (p=0.003). Patients with adenocarcinoma showed a better survival rate (1yr 64.3$\%$, 2yr 21.4$\%$) than that of squamous cell counterpart (1yr 49.4$\%$, 2yr 7.4$\%$), although this was not significant statistically (p=0.61). Two patients developed fatal radiation-induced pneumonia right after the completion of the treatment which progressed rapidly and they all died within 2 months. One patient developed radiation-induced fibrosis after 13 months. He refused further treatment and died soon after the development of fibrosis. Conclusion : Among locally advanced NSCLC, hyperfractionated radiotherapy was effective on stage IIIA patients by increasing MST with acceptable toxicities. Acute radiation-induced pneumonia should be carefully monitored and must be avoided during or after this treatment.

• Proceedings of the Korean Nutrition Society Conference
• /
• 1995.05c
• /
• pp.24-24
• /
• 1995

• Journal of Practical Agriculture & Fisheries Research
• /
• v.6 no.1
• /
• pp.81-89
• /
• 2004

The effects of developed grape bags on the micro-climate changes of bag, physiological disorder, pathogenic decay, quality and harvest time evaluation in 'Campbell Early' grapevines were studied. The temperature and light transmittance of developed grape bags showed no differences compared with the onces of conventional bag and non-bagging, but relative humidity and the amount of water evaporation were changed in all treatments. The occurrence of unfertilized fruit, poorly colored fruit, russet and gray mold rot showed no significant difference in all treatment at harvest time. Developed grape bags decreased effectively the occurrence of cracking fruit and bitter rot in 'Campbell Early' fruit. There was no difference in growth of cluster and berry, soluble solids and total acidity in fruits, degree of skin color and bloom appearance at harvest time. The skin color and fruit boom and harvest time evaluation in developed grape bags were resulted excellent compared with the once of conventional bag and non bagging.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.37 no.2
• /
• pp.50-59
• /
• 2000

In this paper, a new preprocessing method is proposed to speedup the watershed-based image segmentation In the proposed method, the gradient correction values of ramp edges are calculated from the positions and width of the ramp edges using Laplacian operator, and then, unlike the conventional method in which the monoscale or multi scale gradient image is directly used as a reference iImage, the reference image is obtained by adding the threshold value to each position of the ramp edges in the monoscale gradient image And the marker image is reconstructed on the reference image by erosion By preprocessing the image for the watershed transformation in such a manner, we can reduce the oversegmentations far more than those of applying the conventional morphological filter to the simple monoscale or multiscale gradient-based reference image Thus, we can reduce the total image segmentation time by reducing the time of postprocessing of region merging, which consumes most of the processing time In the watershed-based image segmentation, Experimental results indicate that the proposed method can speedup the total image segmentation about twice than those of the conventional methods, without the loss of ramp edges and principal edges around the dense-edge region.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.10
• /
• pp.707-716
• /
• 2017

The advances in image display devices necessitate display images suitable for the user's purpose. The display devices should be able to provide object-based image information when a depthmap is required. In this paper, we represent the algorithm using a histogram-based image segmentation method for depthmap generation. In the conventional K-means clustering algorithm, the number of centroids is parameterized, so existing K-means algorithms cannot adaptively determine the number of clusters. Further, the problem of K-means algorithm tends to sink into the local minima, which causes over-segmentation. On the other hand, the proposed algorithm is adaptively able to select centroids and can stand on the basis of the histogram-based algorithm considering the amount of computational complexity. It is designed to show object-based results by preventing the existing algorithm from falling into the local minimum point. Finally, we remove the over-segmentation components through connected-component labeling algorithm. The results of proposed algorithm show object-based results and better segmentation results of 0.017 and 0.051, compared to the benchmark method in terms of Probabilistic Rand Index(PRI) and Segmentation Covering(SC), respectively.

• KIPS Transactions on Software and Data Engineering
• /
• v.1 no.1
• /
• pp.55-68
• /
• 2012

In this paper, we propose a novel method to solve the problem of excessive segmentation out of the method of segmenting regions from an image using Homogeneity Threshold($H_T$). The algorithm of the previous image segmentation based on $H_T$ was carried out region growth by using only the center pixel of selected window. Therefore it was caused resulting in excessive segmented regions. However, before carrying region growth, the proposed method first of all finds out whether the selected window is homogeneity or not. Subsequently, if the selected window is homogeneity it carries out region growth using the total pixels of selected window. But if the selected window is not homogeneity, it carries out region growth using only the center pixel of selected window. So, the method can reduce remarkably the number of excessive segmented regions of image segmentation based on $H_T$. In order to show the validity of the proposed method, we carried out multiple experiments to compare the proposed method with previous method in same environment and conditions. As the results, the proposed method can reduce the number of segmented regions above 40% and doesn't make any difference in the quality of visual image when we compare with previous method. Especially, when we compare the image united with regions of descending order by size of segmented regions in experimentation with the previous method, even though the united image has regions more than 1,000, we can't recognize what the image means. However, in the proposed method, even though image is united by segmented regions less than 10, we can recognize what the image is. For these reason, we expect that the proposed method will be utilized in various fields, such as the extraction of objects, the retrieval of informations from the image, research for anatomy, biology, image visualization, and animation and so on.

• Korean Journal of Remote Sensing
• /
• v.34 no.6_3
• /
• pp.1427-1443
• /
• 2018

Object-based image analysis (OBIA) allows higher computation efficiency and usability of information inherent in the image, as it reduces the complexity of the image while maintaining the image properties. Superpixel methods oversegment the image with a smaller image unit than an ordinary object segment and well preserve the edges of the image. SLIC (Simple linear iterative clustering) is known for outperforming the previous superpixel methods with high image segmentation quality. Although the input parameter for SLIC, number of superpixels has considerable influence on image segmentation results, impact analysis for SLIC parameter has not been investigated enough. In this study, we performed optimal parameter analysis and evaluation of change detection for SLIC-based superpixel techniques using KOMPSAT data. Forsuperpixel generation, three superpixel methods (SLIC; SLIC0, zero parameter version of SLIC; SNIC, simple non-iterative clustering) were used with superpixel sizes in ranges of $5{\times}5$ (pixels) to $50{\times}50$ (pixels). Then, the image segmentation results were analyzed for how well they preserve the edges of the change detection reference data. Based on the optimal parameter analysis, image segmentation boundaries were obtained from difference image of the bi-temporal images. Then, DBSCAN (Density-based spatial clustering of applications with noise) was applied to cluster the superpixels to a certain size of objects for change detection. The changes of features were detected for each superpixel and compared with reference data for evaluation. From the change detection results, it proved that better change detection can be achieved even with bigger superpixel size if the superpixels were generated with high regularity of size and shape.

• 대한예방의학회:학술대회논문집
• /
• 2002.10a
• /
• pp.202-203
• /
• 2002