Papers by Parisut Jitpakdee
IC-ICTES 2014, The International Conference of Information and Communication Technology for Embedded Systems
Firefly algorithm is a swarm-based algorithm that can
be used for solving optimization pro... more Firefly algorithm is a swarm-based algorithm that can
be used for solving optimization problems. In this paper, we
focus on image clustering algorithm using the fuzzy set of
possible solution is incorporated into the original firefly to
improve the performance. The movement of the firefly still
follows the original pattern but they are updated according fuzzy
c-means algorithm. All method, k-means, fuzzy c-means and our
algorithm have been run for 100 times on 7 images, evaluated by
the compactness. The experimental results showed that the
proposed algorithm surpasses both the base-line technique kmeans clustering and original fuzzy c-mean
World Academy of Science, Engineering and Technology, May 2013
Color Image quantization (CQ) is an important problem in computer graphics, image and ... more Color Image quantization (CQ) is an important problem in computer graphics, image and processing. The aim of
quantization is to reduce colors in an image with minimum distortion. Clustering is a widely used technique for color quantization; all colors in an image are grouped to small clusters. In this paper, we proposed a new hybrid approach for color quantization using firefly algorithm (FA) and K-means algorithm. Firefly algorithm is a swarm based algorithm that can be used for solving optimization problems. The proposed method can overcome the drawbacks of both algorithms such as the local optima converge problem in K-means and the early converge of firefly algorithm. Experiments on three commonly used images and the comparison results shows that the
proposed algorithm surpasses both the base-line technique k-means clustering and original firefly algorithm
International Conference on Computer Research and Development, 5th (ICCRD 2013)
Firefly algorithm is a swarm-based algorithm that can be used for solving optimization problems. ... more Firefly algorithm is a swarm-based algorithm that can be used for solving optimization problems. In this paper, the methodology of fuzzy c-means algorithm is incorporated into the original firefly algorithm to improve the performance. Six popular benchmark data sets from the UCI machine learning repository are used to test this technique.The experimental results showed that the proposed algorithm surpasses both the base-line technique k-means clustering and original fuzzy c-mean.
ECTI-CON, IEEE, May 2012
Diabetic Retinopathy is a medical condition where the
retina is damaged because fluid ... more Diabetic Retinopathy is a medical condition where the
retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the incidence of blindness. In this paper we review techniques, algorithms, and methodologies used for the detection of hemorrhage from diabetic retinopathy retinal images.
IASTED International Conference: Advances in Computer Science and Technology, Apr 2007
This paper proposes a new technique for dimensionality reduction of features for text categorizat... more This paper proposes a new technique for dimensionality reduction of features for text categorization. Unlike conventional method, our phrase features are generated based on word sequences of different length (Multigrams) from phrases extracted from whole documents. Then, we utilize Odds ratio (OR) to perform phase feature selection. From preliminary experiments, the proposed techniques show better performance than that of conventional methods
Uploads
Papers by Parisut Jitpakdee
be used for solving optimization problems. In this paper, we
focus on image clustering algorithm using the fuzzy set of
possible solution is incorporated into the original firefly to
improve the performance. The movement of the firefly still
follows the original pattern but they are updated according fuzzy
c-means algorithm. All method, k-means, fuzzy c-means and our
algorithm have been run for 100 times on 7 images, evaluated by
the compactness. The experimental results showed that the
proposed algorithm surpasses both the base-line technique kmeans clustering and original fuzzy c-mean
quantization is to reduce colors in an image with minimum distortion. Clustering is a widely used technique for color quantization; all colors in an image are grouped to small clusters. In this paper, we proposed a new hybrid approach for color quantization using firefly algorithm (FA) and K-means algorithm. Firefly algorithm is a swarm based algorithm that can be used for solving optimization problems. The proposed method can overcome the drawbacks of both algorithms such as the local optima converge problem in K-means and the early converge of firefly algorithm. Experiments on three commonly used images and the comparison results shows that the
proposed algorithm surpasses both the base-line technique k-means clustering and original firefly algorithm
retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the incidence of blindness. In this paper we review techniques, algorithms, and methodologies used for the detection of hemorrhage from diabetic retinopathy retinal images.
be used for solving optimization problems. In this paper, we
focus on image clustering algorithm using the fuzzy set of
possible solution is incorporated into the original firefly to
improve the performance. The movement of the firefly still
follows the original pattern but they are updated according fuzzy
c-means algorithm. All method, k-means, fuzzy c-means and our
algorithm have been run for 100 times on 7 images, evaluated by
the compactness. The experimental results showed that the
proposed algorithm surpasses both the base-line technique kmeans clustering and original fuzzy c-mean
quantization is to reduce colors in an image with minimum distortion. Clustering is a widely used technique for color quantization; all colors in an image are grouped to small clusters. In this paper, we proposed a new hybrid approach for color quantization using firefly algorithm (FA) and K-means algorithm. Firefly algorithm is a swarm based algorithm that can be used for solving optimization problems. The proposed method can overcome the drawbacks of both algorithms such as the local optima converge problem in K-means and the early converge of firefly algorithm. Experiments on three commonly used images and the comparison results shows that the
proposed algorithm surpasses both the base-line technique k-means clustering and original firefly algorithm
retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the incidence of blindness. In this paper we review techniques, algorithms, and methodologies used for the detection of hemorrhage from diabetic retinopathy retinal images.