3731

3525

كارشناسي ارشد

الكترونيك

اصفهان : دانشگاه صنعتي اصفهان ،دانشكده برق و كامپيوتر

1386

ده : 103 ،[II]ص. :مصور ،جدول ،نمودار

ص.ع. به فارسي و انگليسي

شادرخ سماوي

سعيد صدري

29/08/86

محمد رضا احمد زاده ،مسعود سيدي

مهندسي برق و كامپيوتر

ID3525

به فارسي و انگليسي :قابل رؤيت در نسخه ديجيتال

Abstract During the past ten years Genetics and especially molecular Genetics have beenthe subject of many transformations The advent of microarray technology is one ofthe causes of these improvements Microarray is a powerful tool for analysis andstudy of the behavior of thousands of genes in a concurrent manner Furthermore microarray has had a great role in discovery of many diseases and finding of treatmentfor these diseases The outcome a microarray experiment is a large image with a size of 2000x5000pixels The high cost of experimentations and the need to share these images in databases have exacerbated the importance of compression of these images Due tospecific characteristics of microarray images usual compression techniques do notshow good performance in compressing these images A number of software andhardware techniques have been proposed for compression of microarray images These techniques have applied both lossless and lossy methods In this thesis threetechniques are proposed which are capable of controlling the loss level andconsequently control the compression ratio of the algorithms All three algorithmssegment an image into spots and background regions The spots regions arecompressed in a lossless manner while background is compressed by lossy methods In the first proposed method the compression is performed without considering spatialcorrelations among image pixels through quantization of histogram bins The secondmethod uses a trellis to exploit spatial correlation among neighboring pixels for bettercompression of an image The third proposed algorithm improves the strategy of thesecond algorithm and obtains better results

شادرخ سماوي

سعيد صدري

محمد رضا احمد زاده ،مسعود سيدي