Improvement of the Method using the Coefficient of Variation for Automatic Multi-segmentation Method of a Rating Curve

Image segmentation plays a vital role in several medical imaging programs by assisting the delineation of physiological structures along with other parts. The objective of this research work is to segmentize human lung MRI (Medical resonance Imaging) images for early detection of cancer.Watershed Transform Technique is implemented as the Segmentation method in this work. Some comparative experiments using both directly applied watershed algorithm and after marking foreground and computed background segmentation methods show the improved lung segmentation accuracy in some image cases.

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KELAYAKAN DAN RISIKO USAHATANI JERUK KEPROK MADURA DI KABUPATEN SUMENEP

PERFORMANCE Jurnal Bisnis & Akuntansi ◽

10.24929/feb.v3i2.53 ◽

2013 ◽

Vol 3 (2) ◽

Author(s):

Isdiantoni Isdiantoni

Keyword(s):

Discount Rate ◽

Coefficient Of Variation

Menurut Direktorat Budidaya Tanaman Buah Deptan (2009), potensi pengembangan tanaman jeruk keprok Madura di Kabupaten Sumenep, cukup besar yaitu seluas 400 hektar yang tersebar di 3 (tiga) kecamatan, yaitu Kecamatan Dasuk, Kecamatan Ambunten dan Kecamatan Pasongsongan. Salah satu faktor yang dapat menenunjang keberhasilan pengembangan komoditas jeruk ini, adalah kelayakan ekonomis (menguntungkan secara finansial).Dipihak lain, petani sebagai pelaku utama kegiatan pengembangan jeruk keprok Madura dan sebagai produsen, harus mengetahui kemungkinan resiko yang akan diterimanya dan besarnya keuntungan dari usaha ini. Pengetahuan terhadap hubungan antara resiko dan keuntungan ini, akan memberikan dasar pertimbangan yang rasional bagi petani dalam mengembangkan komoditas jeruk keprok Madura. Informasi/data pada penelitian ini, diperoleh dari petani jeruk keprok Madura yang bibitnya berasal dari cangkokan dan mulai dibuahkan pada umur 3 (tiga) tahun.Pengukuran kelayakan finansial usahatani jeruk keprok Madura dilakukan dengan melihat kriteria investasi, dan pengukuran terhadap hubungan antara tingkat resiko dengan keuntungan, diukur secara statistik dengan melihat koefisien variasi (coefficient of variation) dan batas bawah keuntungan. Kriteria investasi pada usahatani jeruk keprok Madura menunjukkan nilai NPV sebesar Rp. 118,342,271 (> 0), Net B/C sebesar 1.38 (> 1) dan IRR sebsar 23,7% (> discount rate), sehingga proyek usahatani jeruk keprok Madura dapat dikatakan go! (layak dilaksanakan).Periode yang diperlukan untuk menutup biaya investasi, yaitu 9 tahun 10 bulan (di bawah dari umur ekonomis proyek), sehingga proyek ini layak diusahakan. Selama periode proyek (15 tahun) nilai koefisien variasi (CV) didapatkan 0.588 (CV > 0.5) dan nilai batas bawah keuntungan (L) didapatkan sebesar Rp. (31,204,042) yang menunjukkan L < 0. Dengan demikian, pengusahatani jeruk keprok Madura harus berani menanggung resiko (kerugian) sebesar Rp. 31,204,042,- pada setiap proses produksi. Kata kunci: Usahatani Jeruk Keprok Madura, Kelayakan, dan Resiko Finansial

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A level set image segmentation method based on pattern geometry classification

International Workshop on Communication Technology 2013 ◽

10.2495/cecnet130281 ◽

2014 ◽

Author(s):

Wu Hong-jiang

Keyword(s):

Image Segmentation ◽

Level Set ◽

Segmentation Method

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A parallel segmentation method of medical image based on cluster system

Future Communication Technology ◽

10.2495/icct131582 ◽

2014 ◽

Author(s):

Yanjun Peng ◽

Yuanhong Wang

Keyword(s):

Medical Image ◽

Cluster System ◽

Segmentation Method

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Coefficient of Variation Sepctral Analysis: An Application to Underwater Acoustics

10.2514/6.1983-687 ◽

1983 ◽

Author(s):

PETER HERSTEIN ◽

ROBERT LAPLANTE

Keyword(s):

Coefficient Of Variation ◽

Underwater Acoustics

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Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d9918.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 9548-9551

Keyword(s):

Image Segmentation ◽

Medical Image Segmentation ◽

Experimental Result ◽

Segmentation Method ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Robust Image ◽

Multiple Clusters ◽

Single Pixel ◽

Popular Image

Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.

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Research of the activity and viability of spermatozoa at different concentrations and proportions of diluents after incubation

Pig breeding the interdepartmental subject scientific digest ◽

10.37143/0371-4365-2020-74-11 ◽

2020 ◽

pp. 88-95

Author(s):

Svitlana Lobchenko ◽

Tetiana Husar ◽

Viktor Lobchenko

Keyword(s):

Plasma Concentration ◽

Incubation Time ◽

Coefficient Of Variation ◽

Incubation Medium ◽

Wide Range ◽

Series Of Experiments ◽

The Subject ◽

Boar Spermatozoa ◽

Native Plasma ◽

Better Than

The results of studies of the viability of spermatozoa with different incubation time at different concentrations and using different diluents are highlighted in the article. (Un) concentrated spermatozoa were diluented: 1) with their native plasma; 2) medium 199; 3) a mixture of equal volumes of plasma and medium 199. The experiment was designed to generate experimental samples with spermatozoa concentrations prepared according to the method, namely: 0.2; 0.1; 0.05; 0.025 billion / ml. The sperm was evaluated after 2, 4, 6 and 8 hours. The perspective of such a study is significant and makes it possible to research various aspects of the subject in a wide range. In this regard, a series of experiments were conducted in this area. The data obtained are statistically processed and allow us to highlight the results that relate to each stage of the study. In particular, in this article it was found out some regularities between the viability of sperm, the type of diluent and the rate of rarefaction, as evidenced by the data presented in the tables. As a result of sperm incubation, the viability of spermatozoa remains at least the highest trend when sperm are diluted to a concentration of 0.1 billion / ml, regardless of the type of diluent used. To maintain the viability of sperm using this concentration of medium 199 is not better than its native plasma, and its mixture with an equal volume of plasma through any length of time incubation of such sperm. Most often it is at this concentration of sperm that their viability is characterized by the lowest coefficient of variation, regardless of the type of diluent used, which may indicate the greatest stability of the result under these conditions. The viability of spermatozoa with a concentration of 0.1 billion / ml is statistically significantly reduced only after 6 or even 8 hours of incubation. If the sperm are incubated for only 2 hours, regardless of the type of diluent used, the sperm concentrations tested do not affect the viability of the sperm. Key words: boar, spermatozoa, sperm plasma, concentration, incubation, medium 199, activity, viability, rarefaction.

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