Block-Based Fast Integral Histogram

Park, JinYong; Park, JungSu; Kim, Tae-Yong

doi:10.1109/scet.2012.6341896

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…In this paper we propose a method of block-based sparse integral histogram (BSIH) to reduce the initialization time and suggest the interpolation method for the BSIH, which includes expansion of the key ideas and supporting experimental results over previous work [14]. Pixels with similar color values are grouped and integrated by a representative value in sparse IH, which is much faster than the initialization of the conventional IH that compute histograms for all pixels in an image.…”

Section: Introductionmentioning

confidence: 67%

Block-Based Sparse Integral Histogram with Interpolation

Park

Hong

Kim

2014

IJMUE

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Integral Histogram is widely used among various real-time algorithms due to its computationally efficient facility to compute histograms from an image. However, its advantage is greatly diminished for algorithms requiring only a few histograms since required initialization operation takes up majority of total running time. In this paper we propose a block-based integral histogram that drastically reduces initialization time, a major weakness of integral histograms, and suggest interpolation methods to generate more reliable histogram for the location whose histogram is not available. Experimental results show that the proposed method is fast and accurate to apply real-time applications.

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Section: Introductionmentioning

confidence: 67%

Block-Based Sparse Integral Histogram with Interpolation

Park

Hong

Kim

2014

IJMUE

Self Cite

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The Retrieval of Shoeprint Images Based on the Integral Histogram of the Gabor Transform Domain

Shi

2014

Lecture Notes in Computer Science

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Shoeprint images which are extracted at the scene of cases are a kind of important modern forensic clue and evidence. Retrieving the images of the same or the similar shoeprint images from the database quickly and accurately is very important to criminal investigation. To deal with the fragmental shoeprint images, we propose a shoeprint images matching and retrieval algorithm which computing the integral histogram in the Gabor transform domain. First, through the integral histogram find out the most similar position of the fragmental image in the intact image. Then, extract the features of the region found in the first step. At last, compute the similarity of the two components. Experiment results prove that this algorithm leads an increase of 4.82% in the retrieval precision, compared with computing the global features of two images directly.

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Sliced integral histogram: an efficient histogram computing algorithm and its FPGA implementation

Yang

Dong

2016

Multimed Tools Appl

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Block-Based Fast Integral Histogram

Cited by 3 publications

References 9 publications

Block-Based Sparse Integral Histogram with Interpolation

Block-Based Sparse Integral Histogram with Interpolation

The Retrieval of Shoeprint Images Based on the Integral Histogram of the Gabor Transform Domain

Sliced integral histogram: an efficient histogram computing algorithm and its FPGA implementation

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