Adaptive color histogram indexing

Vincent To Yee Ng; David W. Cheung; Ada Fu

Adaptive color histogram indexing

Vincent To Yee Ng, David W. Cheung, Ada Fu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	202-211
Number of pages	10
Volume	2606
Publication status	Published - 1 Dec 1995
Event	Digital Image Storage and Archiving Systems - Philadelphia, PA, United States Duration: 25 Oct 1995 → 26 Oct 1995

Conference

Conference	Digital Image Storage and Archiving Systems
Country/Territory	United States
City	Philadelphia, PA
Period	25/10/95 → 26/10/95

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

@inproceedings{9280fb25a8f74cbeb0f8252c4bdc92ee,

title = "Adaptive color histogram indexing",

abstract = "In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.",

author = "Ng, {Vincent To Yee} and Cheung, {David W.} and Ada Fu",

year = "1995",

month = dec,

day = "1",

language = "English",

isbn = "0819419702",

volume = "2606",

pages = "202--211",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Digital Image Storage and Archiving Systems ; Conference date: 25-10-1995 Through 26-10-1995",

}

TY - GEN

T1 - Adaptive color histogram indexing

AU - Ng, Vincent To Yee

AU - Cheung, David W.

AU - Fu, Ada

PY - 1995/12/1

Y1 - 1995/12/1

N2 - In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.

AB - In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.

UR - http://www.scopus.com/inward/record.url?scp=0029520920&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 0819419702

SN - 9780819419705

VL - 2606

SP - 202

EP - 211

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Digital Image Storage and Archiving Systems

Y2 - 25 October 1995 through 26 October 1995

ER -

Adaptive color histogram indexing

Abstract

Conference

ASJC Scopus subject areas

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