An efficient compression scheme based on adaptive thresholding in wavelet domain using particle swarm optimization

Ahmadi, Kaveh; Javaid, Ahmad Y.; Salari, Ezzatollah

doi:10.1016/j.image.2015.01.001

Cited by 26 publications

(11 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…After that, the ICA algorithm was applied. Then, the adaptive threshold segmentation algorithm [26] was applied to ICA3, and the bruise region was obtained. All 324 apple hyperspectral image samples were detected by the process, and the results are shown in Table 4.…”

Section: Analysis Of Apple Bruise Based On Image Processingmentioning

confidence: 99%

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Zhang

2018

International Journal of Food Properties

View full text Add to dashboard Cite

Hyperspectral imaging technique (400-1000 nm) was used for rapid and nondestructive recognition of bruises of apples. A total of 324 hyperspectral images were collected from 108 Fuji apples and the average spectral reflectance was extracted from the region of interest (ROI) of each image. The classification results of AdaBoost for the data pretreated by various existing methods were compared. Then, the correlation-based feature selection (CFS) algorithm was used to obtain characteristic wavelengths for reducing data redundancy. After pretreating with multiplicative scatter correction (MSC) and CFS, the average accuracy of the selected wavelengths was 97.63%. Then, an image processing algorithm based on the characteristic wavelengths selected before was proposed for the visual discrimination of bruises. This algorithm performed independent component analysis (ICA) transformation of the selected wavelengths, and chose the third component image of the ICA transform, then used adaptive threshold segmentation to obtain the bruise region of apples. The results showed that hyperspectral imaging technology could discriminate apple bruise, and this study can help to develop an online apple bruises detection system. ARTICLE HISTORY

show abstract

Section: Analysis Of Apple Bruise Based On Image Processingmentioning

confidence: 99%

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Zhang

2018

International Journal of Food Properties

View full text Add to dashboard Cite

show abstract

“…Tables 2-7, show, the comparison of the proposed method (decomposed at level 5) with SPIHT, BTC (without entropy coding), JPEG and JPEG2000 in terms of PSNR for the different bit per pixel (BPP) respectively. The PSNR values of SPIHT, JPEG, and JPEG2000 compression were obtained from [1] and same tested images are used for consistency check. For maximum compression in MSVD, we use 70 to 75 percentage ranks for reconstruction which boosts the image quality for binary tree coding.…”

Section: Experiments Results and Discussionmentioning

confidence: 99%

Improved Binary Tree Coding for Image Compression using Modified Singular Value Decomposition

Kumar

Jagadale

Bhat

2018

Jour. Inform. Math. Sci.

View full text Add to dashboard Cite

Reducing the transmission cost while maintaining the quality of image data is the most challenging part in data transmission. In this paper, we report the possibility of improving the quality of image reconstruction by using modified singular value decomposition (SVD) and binary tree coding with adaptive scanning order (BTCA) for grayscale image compression. This method uses modified rank one updated SVD as a pre-processing step for binary tree coding to increase the quality of the reconstructed image. The high energy compaction in SVD process offers high image quality with less compression and is requires more number of bits for reconstruction. BTCA compression, also gives high image quality by coding more significant coefficients using adaptive scanning order from bottom to top with high compression rate. The proposed method uses both SVD and BTC for image compression and is tested with several test images and results are compared with those of SPIHT, JPEG, JPEG2000 and BTCA. The results show significant improvement in PSNR at high bitrates as compared to other methods.

show abstract

“…The adaptive thresholding [17] utilized to isolate the desirable image objects of foreground as of the background predicated about the intensity discrepancy in every region pixel. Global thresholding applies a fixed threshold in the image for all pixels, consequently can't accord by images encompassing an unreliable gradient of intensity.…”

Section: B Adaptive Thresholdingmentioning

confidence: 99%

Metallic Surface Coating Defect Detection Using Firefly Based Adaptive Thresholding and Level Set Method

Aslam¹,

Santhi²,

Ramasamy³

et al. 2019

IJITEE

View full text Add to dashboard Cite

An innovative approach is introduced to detect surface defects on titanium coated steel surfaces with varied size through the use of image processing techniques. This paper provides techniques which are useful to discover numerous kinds of surface defects present on coating surface. For defect detection, Firefly Algorithm (FA) based adaptive thresholding is proposed and is applied for the gray scale images. The FA ensuing nature inspired algorithm utilized expansively in support of determining various optimization problems and from the reconstructed image contours are extracted using level set method, the predictable images not including textures besides defects contours be compassed. The morphological post processing removes the noise in image and makes defects more distinguishable from the background. The speculative result persists in utilizing synchronous images of metal surface and shows that the proposed method can efficiently segment surface defects and obtain better performance than existing methods.

show abstract

An efficient compression scheme based on adaptive thresholding in wavelet domain using particle swarm optimization

Cited by 26 publications

References 21 publications

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Improved Binary Tree Coding for Image Compression using Modified Singular Value Decomposition

Metallic Surface Coating Defect Detection Using Firefly Based Adaptive Thresholding and Level Set Method

Contact Info

Product

Resources

About