A multiscale morphological approach to local contrast enhancement

Mukhopadhyay, Susanta; Chanda, Bhabatosh

doi:10.1016/s0165-1684(99)00161-9

Cited by 140 publications

(61 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different published algorithms were used to compare outcomes, such as the classical toggle operator-based algorithm (CTO) , multiscale morphological approach (MSM) (Mukhopadhyay & Chanda, 2000), Wallis filter algorithm (WF) (Foracchia et al, 2005), histogram equalization algorithm (HE) (Wan & Shi, 2007) and contrast limited adaptive histogram equalization algorithm (CLAHE) (Huang et al, 2006). CTO is a classical toggle operator-based algorithm to enhance mineral images.…”

Section: Resultsmentioning

confidence: 99%

“…Using the sequential index of algorithms on different measures for the overall performance comparison is an appropriate and widely used way in image enhancement (Mukhopadhyay & Chanda, 2000). A small value of the total value of the sequential indexes indicates a good overall performance of the corresponding algorithm.…”

Section: Resultsmentioning

confidence: 99%

“…w 1 and w 2 are positive weights to adjust the contrast of the final result image. This strategy of contrast enhancement through enlarging the differences between the bright and dark image features has been recognized as the effectively and widely used way for image enhancement (Mukhopadhyay & Chanda 2000;Soill, 2003).…”

Section: Mineral Image Enhancementmentioning

confidence: 99%

“…Morphological operators are widely used in different image-based applications, including image enhancement. Top-hat transform could extract image features and then enhance images through enhancing the image features (Mukhopadhyay & Chanda, 2000;Bai & Zhou, 2010a, b). However, top-hat transform may import noise into the final result image if the image features could not be effectively used.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Morphological enhancement of microscopy mineral image using opening‐ and closing‐based toggle operator

Bai

2013

Journal of Microscopy

View full text Add to dashboard Cite

SummaryTo enhance unclear microscopy mineral images, an algorithm based on toggle operator using opening and closing is proposed in this paper. Firstly, the specified toggle operator using opening and closing through designing the selection rules is analysed. Secondly, after importing the multiscale theory into the specified toggle operator, useful mineral image features, especially the mineral details, are extracted using the multiscale theory-based toggle operator. Finally, the mineral image is enhanced through the strategy of enlarging the contrast between the extracted bright and dark image features. Experimental results on different types of mineral images verified that the proposed algorithm could effectively enhance mineral images and performed better than some other algorithms. The enhanced mineral image is clear and contains rich mineral details, whereas the grey scale distribution of the original mineral image is appropriately maintained. This would be useful for the further mineral analysis. Therefore, the proposed algorithm could be widely used for image-based mineral applications.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Mineral Image Enhancementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Morphological enhancement of microscopy mineral image using opening‐ and closing‐based toggle operator

Bai

2013

Journal of Microscopy

View full text Add to dashboard Cite

show abstract

“…Mathematical morphology [6] is the part of set theory, which has a robust geometric orientation. Mathematical morphology presents a well-found theory for analysis and processing for binary images.…”

Section: Morphological Operationsmentioning

confidence: 99%

Object-Based Image Enhancement Technique for Gray Scale Images

G¹,

A²,

S³

et al. 2014

IJAIT

View full text Add to dashboard Cite

Image enhancement technique plays vital role in improving the quality of the image. Enhancement technique basically enhances the foreground information and retains the background and improve the overall contrast of an image. In some case the background of an image hides the structural information of an image. This paper proposes an algorithm which enhances the foreground image and the background part separately and stretch the contrast of an image at inter-object level and intra-object level and then combines it to an enhanced image. The results are compared with various classical methods using image quality measures.

show abstract

Real Time Morphological Image Contrast Enhancement in Virtex FPGA

Kasperek

2001

Field-Programmable Logic and Applications

View full text Add to dashboard Cite

Abstract. This paper describes the implementation of the real time local image contrast enhancement method. The system is based on Virtex FPGA chip and enhances the angiocardiographic data using the modified mathematical morphology multiscale TopHat transform. The morphological TopHat transform proved its effectiveness but the direct real time pipeline implementation of the multiscale version requires too many memory blocks. The author proposes a slight modification of the algorithm and presents satisfactory image contrast enhancement results and an efficient FPGA implementation. Proposed pipeline architecture uses the structural element decomposition and employs the Virtex BlockRam modules effectively. The processing kernel realises the contrast enhancement for the 512 x 512 image data with 8 bits/pixel representation in the real time in one XCV-800 Virtex chip.

show abstract

A multiscale morphological approach to local contrast enhancement

Cited by 140 publications

References 21 publications

Morphological enhancement of microscopy mineral image using opening‐ and closing‐based toggle operator

Morphological enhancement of microscopy mineral image using opening‐ and closing‐based toggle operator

Object-Based Image Enhancement Technique for Gray Scale Images

Real Time Morphological Image Contrast Enhancement in Virtex FPGA

Contact Info

Product

Resources

About