Full Description
| Cataloguing Source | LibUI ind rda |
| Content Type | text (rdacontent) |
| Media Type | computer (rdamedia) |
| Carrier Type | online resource (rdacarrier) |
| Physical Description | xii, 38 pages : illustration ; 28 cm + appendix |
| Concise Text | |
| Holding Institution | Universitas Indonesia |
| Location | Perpustakaan UI, Lantai 3 |
- Availability
- Digital Files: 1
- Review
- Cover
- Abstract
| Call Number | Barcode Number | Availability |
|---|---|---|
| T-Pdf | 15-18-794905622 | TERSEDIA |
| No review available for this collection: 77119 |
Abstract
ABSTRAK
Keburaman dan ketidakjelasan batas citra sangat mempengaruhi hasil pengamatan medic terutama untuk identifikasi penyakit. Karena itu meningkatkan kontras citra dan menajamkan batas citra merupakan suatu cara agar dapat memperoleh hasil citra rekonstruksi yang lebih baik.
Detektor edge detection dan filterisasi Gauss adalah salah satu cara untuk menambah pencahayaan pada citra dan meningkatkan ketajaman sisi citra. Dengan menggunakan transformasi wavelet proses manipulasi piksel-piksel citra tersebut menjadi cukup mudah untuk dilaksanakan.
Perhitungan nilai selisih citra dan perbandingan presentase citra dapat digunakan untuk mengukur seberapa jauh tingkat pencahayaan dari citra rekonstruksi. Semakin tinggi nilai selisih dan presentase maka semakin baik citra rekonstruksi.
ABSTRACT Blurring image is a fundamental problem for mammogram images. In case this trouble always takes some difficulty for medical purposes. So, edge detection of images and increase their contrast is one way to solve this problem. Edge detector and gaussian's filter are manipulated to enhance an original image. Some of manipulation of pixels can be easily done by wavelet transform to get reconstruction images. Difference analysis and percentage analysis are used to determine the criteria of resulting image.
ABSTRACT Blurring image is a fundamental problem for mammogram images. In case this trouble always takes some difficulty for medical purposes. So, edge detection of images and increase their contrast is one way to solve this problem. Edge detector and gaussian's filter are manipulated to enhance an original image. Some of manipulation of pixels can be easily done by wavelet transform to get reconstruction images. Difference analysis and percentage analysis are used to determine the criteria of resulting image.